小编Pra*_*ati的帖子

我目前有一份需要智能扫描的文档。

为此，我需要在任何背景下找到文档的正确轮廓，以便我可以对该图像进行扭曲的透视投影和检测。

这样做时面临的主要问题是文档边缘检测任何类型的背景。

到目前为止，我一直尝试使用函数 HoughLineP 并尝试在通过精明边缘检测的灰度模糊图像上找到轮廓。

            MORPH = 9
            CANNY = 84
            HOUGH = 25

            IM_HEIGHT, IM_WIDTH, _ = rescaled_image.shape

            # convert the image to grayscale and blur it slightly
            gray = cv2.cvtColor(rescaled_image, cv2.COLOR_BGR2GRAY)
            gray = cv2.GaussianBlur(gray, (7,7), 0)

            #dilate helps to remove potential holes between edge segments
            kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(MORPH,MORPH))
            dilated = cv2.dilate(gray, kernel)

            # find edges and mark them in the output map using the Canny algorithm
            edged = cv2.Canny(dilated, 0, CANNY)
            test_corners = self.get_corners(edged)

            approx_contours = [] …