notes.txt

I used the Python interface for OpenCV[1] . I modified a lot as I was going, this is just how the code ended up. The sigmoid function was added when I attempted to have the threshold change over the image, but I couldn't get it to work out very well :/
first code used:

import numpy as np
import cv2
import math

imgname = 'filename.jpg'
img = cv2.imread(imgname,-1)

cv2.namedWindow('original',cv2.WINDOW_NORMAL)
cv2.imshow('original',img)


def sigmoid(x):
  return 1/(1+math.exp(-x))

s = img.shape
print s
for i in range(0,s[0]-1):
    for j in range(0,s[1]-1):
      if np.linalg.norm(img[i,j]-img[i+1,j+1]) < 19:
        img[i+1,j+1] = img[i,j]

cv2.namedWindow('1st',cv2.WINDOW_NORMAL)
cv2.imshow('1st',img) 

cv2.imshow('unscaled',img)

k = cv2.waitKey(0)
if k == 27:
  cv2.destroyAllWindows()
elif k == ord('s'):
  cv2.imwrite('sorted'+imgname,img)
  cv2.destroyAllWindows()
modified to check individual RGB values:
import cv2

imgname = 'filename.jpg'
img = cv2.imread(imgname,1)

cv2.namedWindow('original',cv2.WINDOW_NORMAL)
cv2.imshow('original',img)


def sigmoid(x):
  return 1/(1+math.exp(-x))

s = img.shape
print s
for i in range(s[0]-1,0,-1):
    for j in range(s[1]-1,0,-1):
      if img[i,j,0]-img[i-1,j-1,0] < 50:
        img[i-1,j-1,0] = img[i,j,0]
      if img[i,j,1]-img[i-1,j-1,1] < 40:
        img[i-1,j-1,1] = img[i,j,1]
      if img[i,j,2]-img[i-1,j-1,2] < 90:
        img[i-1,j-1,2] = img[i,j,2]    

cv2.namedWindow('1st',cv2.WINDOW_NORMAL)
cv2.imshow('1st',img)

for i in range(s[0]-1,0,-1):
    for j in range(0,s[1]-2):
      if img[i,j,0]-img[i,j+1,0] < 50:
        img[i,j+1,0] = img[i,j,0]
      if img[i,j,1]-img[i,j+1,1] < 40:
        img[i,j+1,1] = img[i,j,1]
      if img[i,j,2]-img[i,j+1,2] < 80:
        img[i,j+1,2] = img[i,j,2]



cv2.namedWindow('2nd',cv2.WINDOW_NORMAL)
cv2.imshow('2nd',img)

cv2.imshow('unscaled',img)
k = cv2.waitKey(0)
if k == 27:
  cv2.destroyAllWindows()
elif k == ord('s'):
  cv2.imwrite('channelsorted'+imgname,img)
  cv2.destroyAllWindows()