opencv python connectedComponents select component per label -

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i want select each component of image :

enter image description here

in practice, each , every triangle, labels. don't figure out how. have code:

#!/usr/bin/python import cv2 import numpy np img = cv2.imread('invmehs.png', -1) imgray = cv2.cvtcolor(img, cv2.color_bgr2gray) ret, imbw = cv2.threshold(imgray, 250, 255, cv2.thresh_binary)  invbwmesh = cv2.bitwise_not(imbw) mask = np.ones(imbw.shape, dtype="uint8") * 255  connectivity = 4 output = cv2.connectedcomponentswithstats(imbw, connectivity, cv2.cv_32s) num_labels = output[0] labels = output[1] stats = output[2] centroids = output[3] labels = labels + 1  b = ( labels == 1) cv2.imwrite('tst.jpg',labels[b])

but image complety black :s thank much.

the image want save (labels[b]) contains thin lines (greylevel 1). when saving image using jpeg format, compression algorithm smooths them, since have 1 greylevel background, erased. that's why black image

saving in png format not alter image labels.

in order keep labels each connected component (0 background), code write should :

cv2.imwrite('labels.png',output[1])

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