Ish*_*oon 1 opencv computer-vision python-3.x opencv3.0 opencv-contour
我正在尝试填充通过单独阈值处理 3 个颜色通道获得的轮廓。
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)
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这应该通过设置厚度 = -1 来工作,但它只在下一行中绘制与厚度 = 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)
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结果如下,
哪个应该提出一个二进制填充图像,而不是仅具有厚度 = 1 的轮廓的图像
好吧,解决了它似乎 drawContours() 函数需要轮廓作为列表类型,只需更改行
cv2.drawContours(image_binary, max(contours, key = cv2.contourArea), -1, 255, thickness=-1)
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到
cv2.drawContours(image_binary, [max(contours, key = cv2.contourArea)], -1, 255, thickness=-1)
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解决它。
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