I have a picture like enter image description here, which i need to segment the picture into 8 blocks.
I have tried this threshold method
img_gray = cv2.imread(input_file,cv2.IMREAD_GRAYSCALE)
ret,thresh = cv2.threshold(img_gray,254,255,cv2.THRESH_BINARY)
kernel = np.array(cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3), (-1, -1)))
img_open = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel) cv2.imshow('abc',img_open) ret1,thresh1 = cv2.threshold(img_open,254,255,cv2.THRESH_BINARY_INV) contours, hierarchy = cv2.findContours(thresh1, cv2.RETR_CCOMP ,cv2.CHAIN_APPROX_NONE) for i in range(len(contours)): if len(contours[i]) > 20: x, y, w, h = cv2.boundingRect(contours[i]) cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2) print (x, y),(x+w, y+h)
after the thresholding
the end result is some blocks connected together are formed into a large segment, which is not what I hoped.
Any other ways to get it around