OpenCV - Is there a way to reliably segment images such as this one?-CodePudding

Is there a way to reliably segment product images similar to this one? Even just separating the 3 variations from the border would be great. The problem is the image touches the border and I don't know how to deal with that! Not all images are alike so I need something highly adaptable. Thanks a lot!

These were the results I achieved using https://docs.opencv.org/master/d3/db4/tutorial_py_watershed.html. My code is identical to the tutorial.

https://i.stack.imgur.com/sSyrx.jpg

https://i.stack.imgur.com/u14BX.jpg

https://i.stack.imgur.com/n4Dct.png

What I expected to achieve instead, at least for the image containing the underwear and camera equipment, since the other one is a lot more complex, is for every single object in the image that is not touching another object to be selected separately and outlined in blue. It seems some of the underwear was properly selected as I expected (the first one minus the elastic band) and the first one in the second row (perfectly).

CodePudding user response：

You can use contour as you were going for and take it from the outside. Since the borders are white you invert the threshold so you'll have something like this:


import numpy as np
import cv2 as cv

im = cv.imread('5zdA0.jpg')
imgray = cv.cvtColor(im, cv.COLOR_BGR2GRAY)

cv.imshow('image', imgray)
cv.waitKey(0)

ret, thresh = cv.threshold(imgray, 160, 255, 1)
contours, hierarchy = cv.findContours(thresh, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)


cv.drawContours(imgray, contours, -1, (0,255,0), 3)
cv.imshow('image', imgray)
cv.waitKey(0)

You'll have to tune these parameters for your images but this should get you going