I have the following image:
I used the following code to outline all the round blobs in this image using this code:
import numpy as np
import cv2
im = cv2.imread('im.jpg')
imgray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(imgray,200,255,0)
contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(im,contours,-1,(0,0,255),1)
#(B,G,R)
cv2.imshow('image',im)
cv2.waitKey(0)
cv2.destroyAllWindows()
And it produces this image:
Which is great for the first step. But I'm having a really hard time drawing a different colored outline for the blue colored blobs. I tried using multiple contours:
import numpy as np
import cv2
im = cv2.imread('im.jpg')
imgray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(imgray,200,255,0)
ret, thresh2 = cv2.threshold(imgray,130,255,0)
contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
contours2, hierarchy2 = cv2.findContours(thresh2,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(im,contours,-1,(0,0,255),1)
cv2.drawContours(im,contours2,-1,(0,255,0),1)
#(B,G,R)
cv2.imshow('image',im)
cv2.waitKey(0)
cv2.destroyAllWindows()
and the image comes out like this:
The first problem with this approach is the fact that it doesn't accurately only outline the blue blobs. Moreover, the sensitivity rating in the threshold function would have to be modified for each image depending on lighting, etc. Is there a smoother way to do this?