python - Why morphological opening displace my image? -


i have picure microscope. want quantify number of cellular nucli (blue ovals - see picture original image)

for using python 2.7 opencv3.

first, load image in bgr, , extract blue layer 

import cv2 import numpy np  img = cv2.imread('image.jpg',1) img_gray = img[:,:,0]

next, produce binary image , applied morphological opening, filling , measured contours (see picture: gray-after thresholding, op-n:after opening n times, 'filling holes' , measuring contours.

_, img_thres =  cv2.threshold(img_gray, 40, 255, cv2.thresh_binary)

for iterations=2 see upper panels (op-2)

kernel = np.ones((2,2),np.uint8) img_op = cv2.morphologyex(img_thres, cv2.morph_open, kernel, iterations =2)

or

for iterations=20 see bottom panels (op-20)

img_op = cv2.morphologyex(img_thres, cv2.morph_open, kernel, iterations =20)

for simplicity skiping filling , contours code.

you can see how contours shifted, shift right proportionality number of iterations during opening transformation.

opening should remove background pixels, doing, not shift pixels. going on? opening issues

****edit****

didnt verify it, maybe it's because kernel of size? try odd kernel size please 3 or 5. – micka

you right! see pictures (both opening iterations=20):

enter image description here


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