改进轮廓检测

Question

气泡是轮廓检测的目标

我想检测气泡中气泡的轮廓照片。但是，无论我使用哪种轮廓检测，我的程序都不会检测到整个轮廓线。我尝试使用腐蚀、模糊和morphologyEx方法使轮廓连续，但气泡形状似乎完全改变了。 请问还有其他方法可以帮助我正确绘制与原始照片相似的气泡轮廓吗？ 我的代码如下：

    cv2.imshow(self.window_name, clone)
    canvas = cv2.imshow('canvas', canvas)
    # waiting for the user to press any key
    imageThresh = cv2.adaptiveThreshold(cloneG, 200, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 3, 11)
    bubble_only = cv2.bitwise_and(imageThresh, imageThresh, mask = VA_mask)
    thresh = cv2.adaptiveThreshold(bubble_only, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 3, 9)
    kernel1 = np.ones((2,2), np.uint8)
    
    # Perform morphological hit-or-miss for
    erosion = cv2.morphologyEx(thresh, cv2.MORPH_ERODE, kernel1, iterations = 2)
    
    # Inverted this image and blurred it with a kernel size of 4
    ret, thresh1 = cv2.threshold(erosion, 127, 255, 1)
    blur = cv2.blur(thresh1, (4,4))
    
    # Again perform another threshold on this image to get the central portion of the edge
    ret, thresh2 = cv2.threshold(blur, 145, 255, 0)
    
    # Perform morphological dilation to thin the edge. Use an ellipse structuring element of kernel size of 2
    kernel2 = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (1,1))
    final = cv2.morphologyEx(thresh2, cv2.MORPH_ERODE, kernel2, iterations = 2)
    
    # find the contour then fill the contour
    mask = np.zeros(clone.shape[:2], dtype = 'uint8')
    contours, hier = cv2.findContours(final, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    bubble_shade = cv2.drawContours(mask, contours, -1, color = (255,255,255), thickness=cv2.FILLED)
    area = []
    
    for contour in contours:
        cnt_Area = cv2.contourArea(contour)
        area.append(cnt_Area)
    print(sorted(area))
    
    cv2.imwrite('bubble_shade.jpg', bubble_shade)
    
    cv2.waitKey()
    cv2.destroyAllWindows()
    return clone

检测到气泡轮廓