我正在尝试填充轮廓,该轮廓是通过分别设置3个颜色通道的阈值获得的。
image_original = cv2.imread(original_image_path)
image_contours = np.zeros((image_original.shape[0], image_original.shape[1], 1), dtype=np.uint8)
image_contour = np.zeros((image_original.shape[0], image_original.shape[1], 1), dtype=np.uint8)
image_binary = np.zeros((image_original.shape[0], image_original.shape[1], 1), dtype=np.uint8)
image_area = image_original.shape[0] * image_original.shape[1]
for channel in range(image_original.shape[2]):
ret, image_thresh = cv2.threshold(image_original[:, :, channel], 120, 255, cv2.THRESH_OTSU)
_, contours, hierarchy = cv2.findContours(image_thresh, 1, 1)
for index, contour in enumerate(contours):
if( cv2.contourArea( contour ) > image_area * background_remove_offset ):
del contours[index]
cv2.drawContours(image_contours, contours, -1, (255,255,255), 3)
_, contours, hierarchy = cv2.findContours(image_contours, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
cv2.drawContours(image_contour, max(contours, key = cv2.contourArea), -1, (255, 255, 255), 1)
cv2.imwrite(output_contour_image_path, image_contour)
cv2.drawContours(image_binary, max(contours, key = cv2.contourArea), -1, (255, 255, 255), thickness=-1)
cv2.imwrite(output_binary_image_path, image_binary)
cv2.imshow("binary", image_binary)
应该通过设置厚度= -1来起作用,但是它只在下面的一行中专门绘制了与厚度= 1相同的1个厚度的轮廓。
cv2.drawContours(image_binary, max(contours, key = cv2.contourArea), -1, (255, 255, 255), thickness=-1)
结果如下,
除了一个轮廓为厚度= 1的图像外,还应该提供一个二进制填充图像