I think you need to describe the algorithm in more details...

So my objective here is to show growth based on pixel values. That is if the pixel value is in a range from 65-255 then it should move or grow to the neighboring cell, if its below that it should slow down. The seed value is a non-zero value or the pixel value which falls between any of these two ranges.

It is supposed to grow in a circular way but the code that I wrote it grows from right to left.

Perhaps you should show your best attempt, so we have a base to work on.
In particular, I fail to understand the "pixel value in a range 65-255", unless you are talking only of gray-scale images.

> It is supposed to grow in a circular way but the code that I wrote it grows from right to left.

i'm guessing you're updating the values in the neighbourhood cells as you go when what you need to do is update *a copy of* the grid using values from the original grid. then copy the new values over the old values when all the grid is finished.

> the code that I wrote

wait, you have code? why didn't you post it! we'd rather see code than a tiny, incomprehensible picture.

Exactly the image is in grayscale. I can post the code but its way way too long. Too many if conditions running in the draw() function.

If that is fine, I'll post the whole code here.

2. if (isTumorCreationComplete)
3. {
4. // imgSolidCannyEdgeWhite is a PImage with the edges of a brain MRI
5. // Set the seed of the tumor
6. imgSolidCannyEdgeWhite.set(pixelX,pixelY,250);
7. imgSolidCannyEdgeWhite.updatePixels();
9. // both are 0 min and max
10. for(i = minX; i < maxX; i++)
11. {
12. for(j = minY; j < maxY; j++)
13. {
14. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) == 250 || 
15. 
    
16.  brightness(imgSolidCannyEdgeWhite.get(i-1,j)) == 250 || 
17. 
    
18.  brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) == 250 || 
19. 
    
20.  brightness(imgSolidCannyEdgeWhite.get(i,j-1)) == 250 ||
21. 
    
22.  brightness(imgSolidCannyEdgeWhite.get(i,j)) == 250 ||
23. 
    
24.  brightness(imgSolidCannyEdgeWhite.get(i,j+1)) == 250 ||
25. 
    
26.  brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) == 250 ||
27. 
    
28.  brightness(imgSolidCannyEdgeWhite.get(i+1,j)) == 250 || 
29. 
    
30.  brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) == 250)
31. 
    
32. {
33. 
    
34. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) == 250)
35. 
    
36. {
37. 
    
38. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 70)
39. 
    
40. {
41. 
    
42. // imgFinalSimulatedTumor.set(i-1,j,color(0,255,0));
43. imgFinalSimulatedTumor.set(i-1,j,color(60));
44. 
    
45. //imgSolidCannyEdgeWhite.set(i-1,j,250);
46. 
    
47. }
48. 
    
49. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 245)
50. 
    
51. {
52. 
    
53. // imgFinalSimulatedTumor.set(i-1,j,color(255,0,0));
54. imgFinalSimulatedTumor.set(i-1,j,color(243));
55. 
    
56. //imgSolidCannyEdgeWhite.set(i-1,j,250);
57. 
    
58. // imgFinalSimulatedTumor.set(i-1,j+1,color(255,0,0));
59. imgFinalSimulatedTumor.set(i-1,j+1,color(243));
60. 
    
61. //imgSolidCannyEdgeWhite.set(i-1,j+1,250);
62. 
    
63. }
64. 
    
65. if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 70)
66. 
    
67. {
68. 
    
69. // imgFinalSimulatedTumor.set(i,j,color(0,255,0));
70. imgFinalSimulatedTumor.set(i,j,color(60));
71. 
    
72. //imgSolidCannyEdgeWhite.set(i,j,250);
73. 
    
74. }
75. 
    
76. else if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 245)
77. 
    
78. {
79. 
    
80. // imgFinalSimulatedTumor.set(i,j,color(255,0,0));
81. imgFinalSimulatedTumor.set(i,j,color(243));
82. 
    
83. //imgSolidCannyEdgeWhite.set(i,j,250);
84. 
    
85. // imgFinalSimulatedTumor.set(i+1,j+1,color(255,0,0));
86. imgFinalSimulatedTumor.set(i+1,j+1,color(243));
87. 
    
88. //imgSolidCannyEdgeWhite.set(i+1,j+1,250);
89. 
    
90. }
91. 
    
92. if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 70)
93. 
    
94. {
95. 
    
96. // imgFinalSimulatedTumor.set(i,j-1,color(0,255,0));
97. imgFinalSimulatedTumor.set(i,j-1,color(60));
98. 
    
99. //imgSolidCannyEdgeWhite.set(i,j-1,250);
100. 
     
101. }
102. 
     
103. else if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 245)
104. 
     
105. {
106. 
     
107. // imgFinalSimulatedTumor.set(i,j-1,color(255,0,0));
108. imgFinalSimulatedTumor.set(i,j-1,color(243));
109. 
     
110. //imgSolidCannyEdgeWhite.set(i,j-1,250);
111. 
     
112. // imgFinalSimulatedTumor.set(i+1,j-1,color(255,0,0));
113. imgFinalSimulatedTumor.set(i+1,j-1,color(243));
114. 
     
115. //imgSolidCannyEdgeWhite.set(i+1,j-1,250);
116. 
     
117. }
118. 
     
119. }
120. 
     
121. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) == 250)
122. 
     
123. {
124. 
     
125. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) < 70)
126. 
     
127. {
128. 
     
129. // imgFinalSimulatedTumor.set(i-1,j-1,color(0,255,0));
130. imgFinalSimulatedTumor.set(i-1,j-1,color(60));
131. 
     
132. imgSolidCannyEdgeWhite.set(i-1,j-1,250);
133. 
     
134. }
135. 
     
136. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) < 245)
137. 
     
138. {
139. 
     
140. // imgFinalSimulatedTumor.set(i-1,j-1,color(255,0,0));
141. imgFinalSimulatedTumor.set(i-1,j-1,color(243));
142. 
     
143. //imgSolidCannyEdgeWhite.set(i-1,j-1,250);
144. 
     
145. }
146. 
     
147. if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 70)
148. 
     
149. {
150. 
     
151. // imgFinalSimulatedTumor.set(i,j-1,color(0,255,0));
152. imgFinalSimulatedTumor.set(i,j-1,color(60));
153. 
     
154. //imgSolidCannyEdgeWhite.set(i,j-1,250);
155. 
     
156. }
157. 
     
158. else if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 245)
159. 
     
160. {
161. 
     
162. // imgFinalSimulatedTumor.set(i,j-1,color(255,0,0));
163. imgFinalSimulatedTumor.set(i,j-1,color(243));
164. 
     
165. imgSolidCannyEdgeWhite.set(i,j-1,250);
166. 
     
167. }
168. 
     
169. if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 70)
170. 
     
171. {
172. 
     
173. // imgFinalSimulatedTumor.set(i,j,color(0,255,0));
174. imgFinalSimulatedTumor.set(i,j,color(60));
175. 
     
176. }
177. 
     
178. else if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 245)
179. 
     
180. {
181. 
     
182. // imgFinalSimulatedTumor.set(i,j,color(255,0,0));
183. imgFinalSimulatedTumor.set(i,j,color(243));
184. 
     
185. // imgFinalSimulatedTumor.set(i+1,j,color(255,0,0));
186. imgFinalSimulatedTumor.set(i+1,j,color(243));
187. 
     
188. }
189. 
     
190. if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 70)
191. 
     
192. {
193. 
     
194. // imgFinalSimulatedTumor.set(i,j+1,color(0,255,0));
195. imgFinalSimulatedTumor.set(i,j+1,color(60));
196. 
     
197. imgSolidCannyEdgeWhite.set(i,j+1,250);
198. 
     
199. }
200. 
     
201. else if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 245)
202. 
     
203. {
204. 
     
205. // imgFinalSimulatedTumor.set(i,j+1,color(255,0,0));
206. imgFinalSimulatedTumor.set(i,j+1,color(243));
207. 
     
208. imgSolidCannyEdgeWhite.set(i,j+1,250);
209. 
     
210. }
211. 
     
212. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) < 70)
213. 
     
214. {
215. 
     
216. // imgFinalSimulatedTumor.set(i-1,j+1,color(0,255,0));
217. imgFinalSimulatedTumor.set(i-1,j+1,color(60));
218. 
     
219. }
220. 
     
221. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) < 245)
222. 
     
223. {
224. 
     
225. // imgFinalSimulatedTumor.set(i-1,j+1,color(255,0,0));
226. imgFinalSimulatedTumor.set(i-1,j+1,color(243));
227. 
     
228. }
229. 
     
230. }
231. 
     
232. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) == 250)
233. 
     
234. {
235. 
     
236. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 70)
237. 
     
238. {
239. 
     
240. // imgFinalSimulatedTumor.set(i-1,j,color(0,255,0));
241. imgFinalSimulatedTumor.set(i-1,j,color(60));
242. 
     
243. imgSolidCannyEdgeWhite.set(i-1,j,250);
244. 
     
245. }
246. 
     
247. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 245)
248. 
     
249. {
250. // imgFinalSimulatedTumor.set(i-1,j,color(255,0,0));
251. imgFinalSimulatedTumor.set(i-1,j,color(243));
252. 
     
253. //imgSolidCannyEdgeWhite.set(i-1,j,250);
254. 
     
255. // imgFinalSimulatedTumor.set(i-1,j-1,color(255,0,0));
256. imgFinalSimulatedTumor.set(i-1,j-1,color(243));
257. 
     
258. //imgSolidCannyEdgeWhite.set(i-1,j-1,250);
259. 
     
260. }
261. 
     
262. if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 70)
263. 
     
264. {
265. 
     
266. // imgFinalSimulatedTumor.set(i,j,color(0,255,0));
267. imgFinalSimulatedTumor.set(i,j,color(60));
268. 
     
269. imgSolidCannyEdgeWhite.set(i,j,250);
270. 
     
271. }
272. 
     
273. else if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 245)
274. 
     
275. {
276. 
     
277. // imgFinalSimulatedTumor.set(i,j,color(255,0,0));
278. imgFinalSimulatedTumor.set(i,j,color(243));
279. 
     
280. imgSolidCannyEdgeWhite.set(i,j,250);
281. 
     
282. // imgFinalSimulatedTumor.set(i+1,j-1,color(255,0,0));
283. imgFinalSimulatedTumor.set(i+1,j-1,color(243));
284. 
     
285. imgSolidCannyEdgeWhite.set(i+1,j-1,250);
286. 
     
287. }
288. 
     
289. if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 70)
290. 
     
291. // imgFinalSimulatedTumor.set(i,j+1,color(0,255,0));
292. imgFinalSimulatedTumor.set(i,j+1,color(60));
293. 
     
294. else if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 245)
295. 
     
296. {
297. 
     
298. // imgFinalSimulatedTumor.set(i,j+1,color(255,0,0));
299. imgFinalSimulatedTumor.set(i,j+1,color(243));
300. 
     
301. // imgFinalSimulatedTumor.set(i+1,j+1,color(255,0,0));
302. imgFinalSimulatedTumor.set(i+1,j+1,color(243));
303. 
     
304. }
305. 
     
306. }
307. 
     
308. else if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) == 250)
309. 
     
310. {
311. 
     
312. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) < 70)
313. 
     
314. {
315. 
     
316. imgSolidCannyEdgeWhite.set(i-1,j-1,250);
317. 
     
318. // imgFinalSimulatedTumor.set(i-1,j-1,color(0,255,0));
319. imgFinalSimulatedTumor.set(i-1,j-1,color(60));
320. 
     
321. }
322. 
     
323. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) < 245)
324. 
     
325. {
326. 
     
327. // imgFinalSimulatedTumor.set(i-1,j-1,color(255,0,0));
328. imgFinalSimulatedTumor.set(i-1,j-1,color(243));
329. 
     
330. imgSolidCannyEdgeWhite.set(i-1,j-1,250);
331. 
     
332. }
333. 
     
334. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 70)
335. 
     
336. {
337. 
     
338. // imgFinalSimulatedTumor.set(i-1,j,color(0,255,0));
339. imgFinalSimulatedTumor.set(i-1,j,color(60));
340. 
     
341. imgSolidCannyEdgeWhite.set(i-1,j,250);
342. 
     
343. }
344. 
     
345. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 245)
346. 
     
347. {
348. 
     
349. // imgFinalSimulatedTumor.set(i-1,j,color(255,0,0));
350. imgFinalSimulatedTumor.set(i-1,j,color(243));
351. 
     
352. imgSolidCannyEdgeWhite.set(i-1,j,250);
353. 
     
354. }
355. 
     
356. if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 70)
357. 
     
358. // imgFinalSimulatedTumor.set(i,j,color(0,255,0));
359. imgFinalSimulatedTumor.set(i,j,color(60));
360. 
     
361. else if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 245)
362. 
     
363. {
364. 
     
365. // imgFinalSimulatedTumor.set(i,j,color(255,0,0));
366. imgFinalSimulatedTumor.set(i,j,color(243));
367. 
     
368. //imgSolidCannyEdgeWhite.set(i,j,250);
369. 
     
370. // imgFinalSimulatedTumor.set(i,j+1,color(255,0,0));
371. imgFinalSimulatedTumor.set(i,j+1,color(243));
372. 
     
373. //imgSolidCannyEdgeWhite.set(i,j+1,250);
374. 
     
375. }
376. 
     
377. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 70)
378. 
     
379. // imgFinalSimulatedTumor.set(i+1,j,color(0,255,0));
380. imgFinalSimulatedTumor.set(i+1,j,color(60));
381. 
     
382. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 245)
383. 
     
384. {
385. 
     
386. // imgFinalSimulatedTumor.set(i+1,j,color(255,0,0));
387. imgFinalSimulatedTumor.set(i+1,j,color(243));
388. 
     
389. }
390. 
     
391. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) < 70)
392. 
     
393. // imgFinalSimulatedTumor.set(i+1,j-1,color(0,255,0));
394. imgFinalSimulatedTumor.set(i+1,j-1,color(60));
395. 
     
396. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) < 245)
397. 
     
398. {
399. 
     
400. // imgFinalSimulatedTumor.set(i+1,j-1,color(255,0,0));
401. imgFinalSimulatedTumor.set(i+1,j-1,color(243));
402. 
     
403. }
404. 
     
405. }
406. 
     
407. else if(brightness(imgSolidCannyEdgeWhite.get(i,j)) == 250)
408. 
     
409. {
410. 
     
411. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) < 70)
412. 
     
413. {
414. 
     
415. // imgFinalSimulatedTumor.set(i-1,j-1,color(0,255,0));
416. imgFinalSimulatedTumor.set(i-1,j-1,color(60));
417. 
     
418. imgSolidCannyEdgeWhite.set(i-1,j-1,250);
419. 
     
420. }
421. 
     
422. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j-1)) < 245)
423. 
     
424. {
425. 
     
426. // imgFinalSimulatedTumor.set(i-1,j-1,color(255,0,0));
427. imgFinalSimulatedTumor.set(i-1,j-1,color(243));
428. 
     

2. imgSolidCannyEdgeWhite.set(i-1,j-1,250);
3. 
   
4. }
5. 
   
6. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 70)
7. 
   
8. {
9. 
   
10. // imgFinalSimulatedTumor.set(i-1,j,color(0,255,0));
11. imgFinalSimulatedTumor.set(i-1,j,color(60));
12. 
    
13. //imgSolidCannyEdgeWhite.set(i-1,j,250);
14. 
    
15. }
16. 
    
17. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 245)
18. 
    
19. {
20. 
    
21. // imgFinalSimulatedTumor.set(i-1,j,color(255,0,0));
22. imgFinalSimulatedTumor.set(i-1,j,color(243));
23. 
    
24. //imgSolidCannyEdgeWhite.set(i-1,j,250);
25. 
    
26. }
27. 
    
28. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) < 70)
29. 
    
30. {
31. 
    
32. // imgFinalSimulatedTumor.set(i-1,j+1,color(0,255,0));
33. imgFinalSimulatedTumor.set(i-1,j+1,color(60));
34. 
    
35. //imgSolidCannyEdgeWhite.set(i-1,j+1,250);
36. 
    
37. }
38. 
    
39. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) < 245)
40. 
    
41. {
42. 
    
43. // imgFinalSimulatedTumor.set(i-1,j+1,color(255,0,0));
44. imgFinalSimulatedTumor.set(i-1,j+1,color(243));
45. 
    
46. //imgSolidCannyEdgeWhite.set(i-1,j+1,250);
47. 
    
48. }
49. 
    
50. if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 70)
51. 
    
52. {
53. 
    
54. // imgFinalSimulatedTumor.set(i,j-1,color(0,255,0));
55. imgFinalSimulatedTumor.set(i,j-1,color(60));
56. 
    
57. //imgSolidCannyEdgeWhite.set(i,j-1,250);
58. 
    
59. }
60. 
    
61. else if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 245)
62. 
    
63. {
64. 
    
65. // imgFinalSimulatedTumor.set(i,j-1,color(255,0,0));
66. imgFinalSimulatedTumor.set(i,j-1,color(243));
67. 
    
68. //imgSolidCannyEdgeWhite.set(i,j-1,250);
69. 
    
70. }
71. 
    
72. if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 70)
73. 
    
74. imgFinalSimulatedTumor.set(i,j+1,color(0,255,0));
75. 
    
76. else if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 245)
77. 
    
78. {
79. 
    
80. // imgFinalSimulatedTumor.set(i,j+1,color(255,0,0));
81. imgFinalSimulatedTumor.set(i,j+1,color(243));
82. 
    
83. }
84. 
    
85. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) < 70)
86. 
    
87. // imgFinalSimulatedTumor.set(i+1,j-1,color(0,255,0));
88. imgFinalSimulatedTumor.set(i+1,j-1,color(60));
89. 
    
90. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) < 245)
91. 
    
92. {
93. 
    
94. // imgFinalSimulatedTumor.set(i+1,j-1,color(255,0,0));
95. imgFinalSimulatedTumor.set(i+1,j-1,color(243));
96. 
    
97. }
98. 
    
99. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 70)
100. 
     
101. {
102. 
     
103. // imgFinalSimulatedTumor.set(i+1,j,color(0,255,0));
104. imgFinalSimulatedTumor.set(i+1,j,color(60));
105. 
     
106. //imgSolidCannyEdgeWhite.set(i+1,j,250);
107. 
     
108. }
109. 
     
110. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 245)
111. 
     
112. {
113. 
     
114. // imgFinalSimulatedTumor.set(i+1,j,color(255,0,0));
115. imgFinalSimulatedTumor.set(i+1,j,color(243));
116. 
     
117. //imgSolidCannyEdgeWhite.set(i+1,j,250);
118. 
     
119. }
120. 
     
121. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) < 70)
122. 
     
123. {
124. 
     
125. // imgFinalSimulatedTumor.set(i+1,j+1,color(0,255,0));
126. imgFinalSimulatedTumor.set(i+1,j+1,color(60));
127. 
     
128. //imgSolidCannyEdgeWhite.set(i+1,j+1,250);
129. 
     
130. }
131. 
     
132. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) < 245)
133. 
     
134. {
135. 
     
136. // imgFinalSimulatedTumor.set(i+1,j+1,color(255,0,0));
137. imgFinalSimulatedTumor.set(i+1,j+1,color(243));
138. 
     
139. //imgSolidCannyEdgeWhite.set(i+1,j+1,250);
140. 
     
141. }
142. 
     
143. }
144. 
     
145. else if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) == 250)
146. 
     
147. {
148. 
     
149. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) < 70)
150. 
     
151. // imgFinalSimulatedTumor.set(i-1,j+1,color(0,255,0));
152. imgFinalSimulatedTumor.set(i-1,j+1,color(60));
153. 
     
154. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j+1)) < 245)
155. 
     
156. {
157. 
     
158. // imgFinalSimulatedTumor.set(i-1,j+1,color(255,0,0));
159. imgFinalSimulatedTumor.set(i-1,j+1,color(243));
160. 
     
161. }
162. 
     
163. if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 70)
164. 
     
165. // imgFinalSimulatedTumor.set(i-1,j,color(0,255,0));
166. imgFinalSimulatedTumor.set(i-1,j,color(60));
167. 
     
168. else if(brightness(imgSolidCannyEdgeWhite.get(i-1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i-1,j)) < 245)
169. 
     
170. {
171. 
     
172. // imgFinalSimulatedTumor.set(i-1,j,color(255,0,0));
173. imgFinalSimulatedTumor.set(i-1,j,color(243));
174. 
     
175. }
176. 
     
177. if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 70)
178. 
     
179. {
180. 
     
181. // imgFinalSimulatedTumor.set(i,j,color(0,255,0));
182. imgFinalSimulatedTumor.set(i,j,color(60));
183. 
     
184. //imgSolidCannyEdgeWhite.set(i,j,250);
185. 
     
186. }
187. 
     
188. else if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 245)
189. 
     
190. {
191. 
     
192. // imgFinalSimulatedTumor.set(i,j,color(255,0,0));
193. imgFinalSimulatedTumor.set(i,j,color(243));
194. 
     
195. //imgSolidCannyEdgeWhite.set(i,j,250);
196. 
     
197. // imgFinalSimulatedTumor.set(i+1,j-1,color(255,0,0));
198. imgFinalSimulatedTumor.set(i+1,j-1,color(243));
199. 
     
200. //imgSolidCannyEdgeWhite.set(i+1,j-1,250);
201. 
     
202. }
203. 
     
204. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 70)
205. 
     
206. // imgFinalSimulatedTumor.set(i+1,j,color(0,255,0));
207. imgFinalSimulatedTumor.set(i+1,j,color(60));
208. 
     
209. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 245)
210. 
     
211. {
212. 
     
213. // imgFinalSimulatedTumor.set(i+1,j,color(255,0,0));
214. imgFinalSimulatedTumor.set(i+1,j,color(243));
215. 
     
216. // imgFinalSimulatedTumor.set(i+1,j-1,color(255,0,0));
217. imgFinalSimulatedTumor.set(i+1,j,color(243));
218. 
     
219. }
220. 
     
221. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) < 70)
222. 
     
223. // imgFinalSimulatedTumor.set(i+1,j+1,color(0,255,0));
224. imgFinalSimulatedTumor.set(i+1,j,color(60));
225. 
     
226. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) < 245)
227. 
     
228. {
229. 
     
230. // imgFinalSimulatedTumor.set(i+1,j+1,color(255,0,0));
231. imgFinalSimulatedTumor.set(i+1,j,color(243));
232. 
     
233. }
234. 
     
235. }
236. 
     
237. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) == 250)
238. 
     
239. {
240. 
     
241. if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 70)
242. 
     
243. // imgFinalSimulatedTumor.set(i,j-1,color(0,255,0));
244. imgFinalSimulatedTumor.set(i,j-1,color(60));
245. 
     
246. else if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 245)
247. 
     
248. {
249. 
     
250. // imgFinalSimulatedTumor.set(i,j-1,color(255,0,0));
251. imgFinalSimulatedTumor.set(i,j-1,color(243));
252. 
     
253. // imgFinalSimulatedTumor.set(i-1,j-1,color(255,0,0));
254. imgFinalSimulatedTumor.set(i,j-1,color(243));
255. 
     
256. }
257. 
     
258. if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 70)
259. 
     
260. // imgFinalSimulatedTumor.set(i,j,color(0,255,0));
261. imgFinalSimulatedTumor.set(i,j-1,color(60));
262. 
     
263. else if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 245)
264. 
     
265. {
266. 
     
267. // imgFinalSimulatedTumor.set(i,j,color(255,0,0));
268. imgFinalSimulatedTumor.set(i,j-1,color(243));
269. 
     
270. // imgFinalSimulatedTumor.set(i-1,j+1,color(255,0,0));
271. imgFinalSimulatedTumor.set(i,j-1,color(243));
272. 
     
273. }
274. 
     
275. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 70)
276. 
     
277. {
278. 
     
279. // imgFinalSimulatedTumor.set(i+1,j,color(0,255,0));
280. imgFinalSimulatedTumor.set(i,j-1,color(60));
281. 
     
282. //imgSolidCannyEdgeWhite.set(i+1,j,250);
283. 
     
284. }
285. 
     
286. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 245)
287. 
     
288. {
289. 
     
290. // imgFinalSimulatedTumor.set(i+1,j,color(255,0,0));
291. imgFinalSimulatedTumor.set(i,j-1,color(243));
292. 
     
293. //imgSolidCannyEdgeWhite.set(i+1,j,250);
294. 
     
295. // imgFinalSimulatedTumor.set(i+1,j+1,color(255,0,0));
296. imgFinalSimulatedTumor.set(i,j-1,color(243));
297. 
     
298. //imgSolidCannyEdgeWhite.set(i+1,j+1,250);
299. 
     
300. }
301. 
     
302. }
303. 
     
304. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) == 250)
305. 
     
306. {
307. 
     
308. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) < 70)
309. 
     
310. // imgFinalSimulatedTumor.set(i+1,j-1,color(0,255,0));
311. imgFinalSimulatedTumor.set(i,j-1,color(60));
312. 
     
313. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j-1)) < 245)
314. 
     
315. {
316. 
     
317. // imgFinalSimulatedTumor.set(i+1,j-1,color(255,0,0));
318. imgFinalSimulatedTumor.set(i,j-1,color(243));
319. 
     
320. }
321. 
     
322. if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 70)
323. 
     
324. // imgFinalSimulatedTumor.set(i,j-1,color(0,255,0));
325. imgFinalSimulatedTumor.set(i,j-1,color(60));
326. 
     
327. else if(brightness(imgSolidCannyEdgeWhite.get(i,j-1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j-1)) < 245)
328. 
     
329. {
330. 
     
331. // imgFinalSimulatedTumor.set(i,j-1,color(255,0,0));
332. imgFinalSimulatedTumor.set(i,j-1,color(243));
333. 
     
334. // imgFinalSimulatedTumor.set(i-1,j-1,color(255,0,0));
335. imgFinalSimulatedTumor.set(i,j-1,color(243));
336. 
     
337. }
338. 
     
339. if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 70)
340. 
     
341. // imgFinalSimulatedTumor.set(i,j,color(0,255,0));
342. imgFinalSimulatedTumor.set(i,j-1,color(60));
343. 
     
344. else if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 245)
345. 
     
346. {
347. 
     
348. // imgFinalSimulatedTumor.set(i,j,color(255,0,0));
349. imgFinalSimulatedTumor.set(i,j-1,color(243));
350. 
     
351. // imgFinalSimulatedTumor.set(i-1,j,color(255,0,0));
352. imgFinalSimulatedTumor.set(i,j-1,color(243));
353. 
     
354. }
355. 
     
356. if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 70)
357. 
     
358. {
359. 
     
360. // imgFinalSimulatedTumor.set(i,j+1,color(0,255,0));
361. imgFinalSimulatedTumor.set(i,j-1,color(60));
362. 
     
363. //imgSolidCannyEdgeWhite.set(i,j+1,250);
364. 
     
365. }
366. 
     
367. else if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 245)
368. 
     
369. {
370. 
     
371. // imgFinalSimulatedTumor.set(i,j+1,color(255,0,0));
372. imgFinalSimulatedTumor.set(i,j-1,color(243));
373. 
     
374. //imgSolidCannyEdgeWhite.set(i,j+1,250);
375. 
     
376. // imgFinalSimulatedTumor.set(i-1,j+1,color(255,0,0));
377. imgFinalSimulatedTumor.set(i,j-1,color(243));
378. 
     
379. //imgSolidCannyEdgeWhite.set(i,j+1,250);
380. 
     
381. }
382. 
     
383. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) < 70)
384. 
     
385. {
386. 
     
387. // imgFinalSimulatedTumor.set(i+1,j+1,color(0,255,0));
388. imgFinalSimulatedTumor.set(i,j-1,color(60));
389. 
     
390. imgSolidCannyEdgeWhite.set(i+1,j+1,250);
391. 
     
392. }
393. 
     
394. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) < 245)
395. 
     
396. {
397. 
     
398. // imgFinalSimulatedTumor.set(i+1,j+1,color(255,0,0));
399. imgFinalSimulatedTumor.set(i,j-1,color(243));
400. 
     
401. imgSolidCannyEdgeWhite.set(i+1,j+1,250);
402. 
     
403. }
404. 
     
405. }
406. 
     
407. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j+1)) == 250)
408. 
     
409. {
410. 
     
411. if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 70)
412. 
     
413. {
414. 
     
415. // imgFinalSimulatedTumor.set(i+1,j,color(0,255,0));
416. imgFinalSimulatedTumor.set(i,j-1,color(60));
417. 
     
418. imgSolidCannyEdgeWhite.set(i+1,j,250);
419. 
     
420. }
421. 
     
422. else if(brightness(imgSolidCannyEdgeWhite.get(i+1,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i+1,j)) < 245)
423. 
     
424. {
425. 
     
426. // imgFinalSimulatedTumor.set(i+1,j,color(255,0,0));
427. imgFinalSimulatedTumor.set(i,j-1,color(243));
428. 
     
429. imgSolidCannyEdgeWhite.set(i+1,j,250);
430. 
     
431. // imgFinalSimulatedTumor.set(i+1,j-1,color(255,0,0));
432. imgFinalSimulatedTumor.set(i,j-1,color(243));
433. 
     
434. imgSolidCannyEdgeWhite.set(i+1,j-1,250);
435. 
     
436. }
437. 
     
438. if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 70)
439. 
     
440. // imgFinalSimulatedTumor.set(i,j,color(0,255,0));
441. imgFinalSimulatedTumor.set(i,j-1,color(60));
442. 
     
443. else if(brightness(imgSolidCannyEdgeWhite.get(i,j)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j)) < 245)
444. 
     
445. {
446. 
     
447. // imgFinalSimulatedTumor.set(i,j,color(255,0,0));
448. imgFinalSimulatedTumor.set(i,j-1,color(243));
449. 
     
450. // imgFinalSimulatedTumor.set(i-1,j-1,color(255,0,0));
451. imgFinalSimulatedTumor.set(i,j-1,color(243));
452. 
     
453. }
454. 
     
455. if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 0 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 70)
456. 
     
457. {
458. 
     
459. imgSolidCannyEdgeWhite.set(i,j+1,250);
460. 
     
461. // imgFinalSimulatedTumor.set(i,j+1,color(0,255,0));
462. imgFinalSimulatedTumor.set(i,j-1,color(60));
463. 
     
464. }
465. 
     
466. else if(brightness(imgSolidCannyEdgeWhite.get(i,j+1)) > 70 && brightness(imgSolidCannyEdgeWhite.get(i,j+1)) < 245)
467. 
     
468. {
469. 
     
470. // imgFinalSimulatedTumor.set(i,j+1,color(255,0,0));
471. imgFinalSimulatedTumor.set(i,j-1,color(243));
472. 
     
473. // imgFinalSimulatedTumor.set(i-1,j+1,color(255,0,0));
474. imgFinalSimulatedTumor.set(i,j-1,color(243));
475. 
     
476. }
477. 
     
478. }
479. 
     
480. }
481. 
     
482. imgSolidCannyEdgeWhite.updatePixels();
483. imgFinalSimulatedTumor.updatePixels();
484. }
486. //noLoop();
487. //Thread.sleep(20);
488. //loop();
490. }
491. imgFinalSimulatedTumor.updatePixels();
492. image(imgFinalSimulatedTumor, screenWidth/1.6f, 100);

Okay so here is the weird code ... :)

Holy moly, that's a lot of code.

have had a quick look and you are updating imgSolidCannyEdgeWhite whilst iterating over it. this will affect the next iteration (it's a feedback loop, basically)

i'd also expect the code to be more symmetrical - some of the conditions have 3 sub-conditions in them, some have 8. not sure i can see the difference at the moment. (but it'll have to wait until i have a better look)

can you post a source image so we have some idea of input values?

(and a bigger version of the picture in the first post, please - clicking on it gives me a 404)

Thanks to all of you guys and ^jobleonard for giving me a direction to work.

Its been a while and I did implement the meat of the algorithm. The code is attached. Sorry if its a bit out of format. Tried my best to indent it right. Phi.Lo I tried indenting the code as you advised but couldnt find an option in the editor :(

Used BFS to implement the code. I have to optimize it.

1. Because its BFS and it looks at the neighboring pixel of each of the eight pixels in the queue each generation takes a long long time. As it grows, the next generation keeps on slowing down drastically.

2. if (isTumorCreationComplete)
3. {
4. for (int i = 0; i < fill.length; i++)
5. for (int j = 0; j < fill.length; j++)
6. fill[i][j] = false;
7. 
   
8. imgSolidCannyEdgeWhite.set(pixelX,pixelY,250);
9. imgSolidCannyEdgeWhite.updatePixels();
11. //println(brightness(imgSolidCannyEdgeWhite.get(pixelX,pixelY)));
12. int x = pixelX; int y = pixelY;
13. int result = 0;
14. // x and y are the mid points or the seed
15.     //int result = 0;
16.     // Declare our queue of points, and push our starting node onto the queue
17. 
    
18.     qPoints.offer(new Point(x, y)); // Inserts the specified element into this queue if it is possible to do so immediately without violating capacity restrictions. When using 
19.     // a capacity-restricted queue, this method is generally preferable to add(E), which can fail to insert an element only by throwing an exception.
20.    
21. System.out.println(_grid[x][y]);
22.    
23.     while (qPoints.isEmpty() == false) {
24. Point top = (Point) qPoints.poll(); // Retrieves and removes the head of this queue, or returns null if this queue is empty.
25. //      System.out.println("Value at Point: " + _grid[top.x][top.y]);
26. //    System.out.println("Top array coord: " + top.x + ", " + top.y);
27.      
28.    // Check, have that we are within the bounds of the grid, if not, continue
29.      if (top.x < 0 || top.x >= _grid.length) continue;
30.    // Similar check for y
31.      if (top.y < 0 || top.y >= _grid.length) continue;
32.    // Check, have we already visited this position, as we don't want to count it twice
33.      if (fill[top.x][top.y]) continue;
34. 
    
35.      if((sourceOriginal.get(top.x, top.y) >= color(243))) // White Matter
36.      {
37.                        destinationNew.set(top.x, top.y, Color.ORANGE.getRGB());
38.      }
39.      else if(sourceOriginal.get(top.x, top.y) <= color(60)) // Grey Matter
40.      {
41. //      destinationNew.set(top.x, top.y, Color.YELLOW.getRGB());
42.      destinationNew.set(top.x, top.y, color(60));
43.      }
44.      else
45.      {
46.      destinationNew.set(top.x, top.y, Color.RED.getRGB());
47.      }
48.      fill[top.x][top.y] = true; // Record that we have visited this cell
49.      
50.      // We have found this node to be empty, and part
51.      // of this connected area, so add 1 to the result
52.      result++;
53.        
54.      // Now we know that we have at least one empty cell, then we will attempt to
55.      // visit every point adjacent to this point / cell
56.      if (top.x >= 0) // Till it doesn't go off the grid / Boundary condition
57.      {
58.      if (top.x != (_grid.length - 1) && fill[top.x+1][top.y]) // Not equal to the size of the grid
59.      System.out.println("Point already visited " + (top.x+1) + ", " + top.y);
60.      else
61.      {
62.      if (top.x != (_grid.length - 1))
63.      {
64.      qPoints.offer(new Point(top.x + 1, top.y));
65. //      System.out.println("Right: " + _grid[top.x+1][top.y]); // right - Down  
66.      }
67.      }  
68.      }
69.      
70.      if (top.x >= 0)
71.      {
72.      if (top.x != 0 && fill[top.x-1][top.y])
73.      System.out.println("Point already visited " + (top.x-1) + ", " + top.y);
74.      else
75.      {
76.      if (top.x != 0)
77.      {
78.      qPoints.offer(new Point(top.x - 1, top.y));
79. //      System.out.println("Left: " + _grid[top.x-1][top.y]); // left - Up  
80.      }  
81.      }
82.      }
83.      
84.      if (top.y >= 0)
85.      {
86.      if(top.y != (_grid.length - 1) && fill[top.x][top.y+1])
87.      System.out.println("Point already visited " + top.x + ", " + (top.y+1));
88.      else
89.      {
90.      if(top.y != (_grid.length - 1))
91.      {
92.      qPoints.offer(new Point(top.x, top.y + 1));
93. //      System.out.println("Down: " + _grid[top.x][top.y+1]); // down - Right  
94.      }
95.      }  
96.      }
97.      
98.      if (top.y >= 0)
99.      {
100.      if (top.y != 0 && fill[top.x][top.y-1])
101.      System.out.println("Point already visited " + top.x + ", " + (top.y-1));
102.      else
103.      {
104.      if (top.y != 0)
105.      {
106.      qPoints.offer(new Point(top.x, top.y - 1));
107. //      System.out.println("Up: " + _grid[top.x][top.y-1]); // up - Left  
108.      } 
109.      }  
110.      }
111.            
112.    destinationNew.updatePixels();
113. 
     
114. destinationNew.save(System.getProperty("user.dir") +File.separator+"src"+File.separator+"images"+File.separator+
115. "brain_for.jpg");
116.    image(destinationNew, screenWidth/1.6f, 100);
117.    blend(sourceOriginal, 0,0, destinationNew.width,destinationNew.height, (int) (screenWidth/1.6),100, 
118.      sourceOriginal.width, sourceOriginal.height, ADD);
119.      
120.      if (top.x >= 0) // Till it doesn't go off the grid / Boundary condition
121.      {
122.      if (top.x != (_grid.length - 1) && fill[top.x+1][top.y+1]) // Not equal to the size of the grid
123.      System.out.println("Point already visited " + (top.x+1) + ", " + top.y+1);
124.      else
125.      {
126.      if (top.x != (_grid.length - 1))
127.      {
128.      qPoints.offer(new Point(top.x + 1, top.y + 1));
129. //      System.out.println("Right: " + _grid[top.x+1][top.y+1]); // right - Down  
130.      }
131.      }  
132.      }
133.      
134.      if (top.x >= 0)
135.      {
136.      if (top.x != 0 && fill[top.x-1][top.y+1])
137.      System.out.println("Point already visited " + (top.x-1) + ", " + top.y+1);
138.      else
139.      {
140.      if (top.x != 0)
141.      {
142.      qPoints.offer(new Point(top.x - 1, top.y+1));
143. //      System.out.println("Left: " + _grid[top.x-1][top.y+1]); // left - Up  
144.      }  
145.      }
146.      }
147.      
148.      if (top.y >= 0)
149.      {
150.      if(top.y != (_grid.length - 1) && fill[top.x-1][top.y-1])
151.      System.out.println("Point already visited " + (top.x-1) + ", " + (top.y-1));
152.      else
153.      {
154.      if(top.y != (_grid.length - 1))
155.      {
156.      qPoints.offer(new Point(top.x-1, top.y - 1));
157. //      System.out.println("Down: " + _grid[top.x-1][top.y-1]); // down - Right  
158.      }
159.      }  
160.      }
161.      
162.      if (top.y >= 0)
163.      {
164.      if (top.y != 0 && fill[top.x+1][top.y-1])
165.      System.out.println("Point already visited " + (top.x+1) + ", " + (top.y-1));
166.      else
167.      {
168.      if (top.y != 0)
169.      {
170.      qPoints.offer(new Point(top.x+1, top.y - 1));
171. //      System.out.println("Up: " + _grid[top.x+1][top.y-1]); // up - Left  
172.      } 
173.      }  
174.      }
175.      destinationNew.updatePixels();
176. 
     
177. destinationNew.save(System.getProperty("user.dir") +File.separator+"src"+File.separator+"images"+File.separator+
178. "image.jpg");
179.      image(destinationNew, screenWidth/1.6f, 100);
180.      blend(sourceOriginal, 0,0, destinationNew.width,destinationNew.height, (int) (screenWidth/1.6),100, 
181.      sourceOriginal.width, sourceOriginal.height, ADD);
182.     }
183. 
     
184.       cursor(ARROW);
185.       //isTumorCreationComplete = false;
186. }

Gentle bounce 

" Phi.Lo I tried indenting the code as you advised but couldnt find an option in the editor"
That's Phi.Lho (PhiLho if the forum wasn't stubborn, but well...).
The option is in Editor > Auto Format (Ctrl+T). You indent too much, it makes hard to read the code.

I don't know what is MRI (medical term apparently, so not important I suppose) nor BFS, so it is hard to answer.
We cannot read the code, we cannot run it, hard to give an advice.
Well, I can give one: code where there is lot of similar lines is "smelly", ie. it is in bad shape.
Instead of repeating code for each neighbor of a pixel (I suppose that's what you do, I hadn't made a deep analysis), use an array to define the neighbors and iterate on it.
Example:

1. PVector[] neighbors = {
2.   new PVector(-1, -1),
3.   new PVector(-1,  0),
4.   new PVector(-1,  1),
5.   new PVector( 0, -1),
6.   new PVector( 0,  0), // Maybe exclude it
7.   new PVector( 0,  1),
8.   new PVector( 1, -1),
9.   new PVector( 1,  0),
10.   new PVector( 1,  1),
11. };

I used PVector because it is convenient to store a tightly coupled pair of values, but you could have used two arrays of ints if you prefer.

Large, repetitive code is hard to read, to detect errors in it, to maintain. Make the language to work for you, not the paste key of your editor!

Thanks for the response. Sorry my bad, I think I'd call you  Philippe if thats fine :)

1. if((sourceOriginal.get(top.x, top.y) >= color(243))) // White Matter
2. {
3.       destinationNew.set(top.x, top.y, Color.ORANGE.getRGB());
4. }
5. else if(sourceOriginal.get(top.x, top.y) <= color(60)) // Grey Matter
6. {
7.       destinationNew.set(top.x, top.y, color(60));
8. }
9. else
10. {
11.       destinationNew.set(top.x, top.y, Color.RED.getRGB());
12. }

Not sure if I understood your problem with this code, but I see a number of inefficiency, getting in the way of speed and readability. My remarks below might apply to other parts of the code.
get() is a costly operation in Processing, it is better to do it once. Or to use the pixels[] array, but that's another topic.
Likewise, color() might be costly. Well, perhaps Processing optimize it... or not. Anyway, it is better to treat it as a constant.
So you can add the constants at the global level (before setup()):
final color WHITE_MATTER = color(243);
final color GREY_MATTER = color(60);
And replace the above code with:

1. color pixelColor = sourceOriginal.get(top.x, top.y);
2. color destColor = #FF0000; // RED, default
3. if (pixelColor >= WHITE_MATTER)
4. {
5.   descColor = #FFA050; // Approximative, adjust
6. }
7. else if (pixelColor <= GREY_MATTER)
8. {
9.    destColor = GREY_MATTER;
10. }
11. destinationNew.set(top.x, top.y, destColor);

Is it more readable this way? And if you need to adjust the colors, it is in one place.
I cannot help you with your algorithm, it will take time to analyze it, a luxury I don't have, but I hope others will take a look.