使用drawContours()厚度= -1

时间:2019-03-08 05:47:48

标签: python-3.x opencv computer-vision opencv3.0 opencv-contour

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,

enter image description here enter image description here

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

1 个答案:

答案 0 :(得分:1)

好吧,解决了似乎drawContours()函数需要轮廓作为列表类型,只是改变了线条

cv2.drawContours(image_binary, max(contours, key = cv2.contourArea), -1, 255, thickness=-1)

cv2.drawContours(image_binary, [max(contours, key = cv2.contourArea)], -1, 255, thickness=-1)

解决它。

enter image description here