python - OpenCV，如何加入/填充线条或框或圆圈中的间隙（Python）

Question

我有一组图像，其中的框和圆圈包含数字。一些盒子和圆圈没有在所有边上连接，线条上有一些间隙。

我想填补这个空白（如图所示），任何人都知道使用 OpenCV ......？

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)

标签： pythonopencvopencv3.0gaussiancanny-operator

Answer 1

一次膨胀就足够了，关键是使用垂直内核，尝试改变内核的尺寸，例如 kernel = np.ones((5,2),np.uint8) 检查 1 次膨胀后的结果，它应该缩小差距.