python - OpenCV，如何加入/填充线或框或圆中的间隙(Python)

Question

我有一组图像，其中包含数字的方框和圆圈。一些方框和圆圈没有四面相连，线条之间存在一些间隙。

我想填补这个空白(如图所示)，有人对使用 OpenCV 有任何想法吗...？

我的代码在这里.......

    self.res = cv2.imread("1.jpg")

    self.store_path = "../storage-data/" 

    #define kernal value
    kernel = np.ones((2,2),np.uint8)

    #grayscale
    gray = cv2.cvtColor(self.image, cv2.COLOR_BGR2GRAY)

    dilate = cv2.dilate(gray,kernel,iterations = 1)
    dilate1 = cv2.dilate(dilate,kernel,iterations = 1)

    dilate1 = cv2.morphologyEx(dilate1, cv2.MORPH_OPEN, kernel)

    #Canny
    canny = cv2.Canny(dilate1,160,160,3)

    dilate = cv2.dilate(canny,kernel,iterations = 1)

    #Gaussian Blurring
    blur = cv2.GaussianBlur(dilate,(5,5),0)
    erode = cv2.dilate(blur,kernel,iterations = 1)
    blur = cv2.GaussianBlur(erode,(5,5),1)

    blur = cv2.morphologyEx(blur, cv2.MORPH_CLOSE, kernel)
    ret, thresh = cv2.threshold(blur,127,255,cv2.THRESH_BINARY)

    blur = cv2.GaussianBlur(thresh,(5,5),1)
    ret1, thresh1 = cv2.threshold(blur,127,255,cv2.THRESH_BINARY)

    opening = cv2.morphologyEx(thresh1, cv2.MORPH_OPEN, kernel)

    cv2.imwrite(self.store_path + 'opening.jpg', opening)

    contours, hierarchy = cv2.findContours(opening,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)

Answer 1

一个dilation应该就够了，关键是要用vertical kernel，尝试改变内核的尺寸 例如 内核 = np.ones((5,2),np.uint8)检查 1 次扩张后的结果，它应该缩小差距。