利用sobel算子边缘检测，写一份代码，找到二值化图像中矩形的角坐标

好的，以下是代码：

import cv2

# 读取图像并转化为灰度图
img = cv2.imread('yourimage.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# 进行边缘检测
sobelx = cv2.Sobel(gray, cv2.CV_64F, 1, 0, ksize=5)
sobely = cv2.Sobel(gray, cv2.CV_64F, 0, 1, ksize=5)
edges = cv2.bitwise_or(sobelx, sobely)

# 将边缘检测结果进行二值化处理
thresh = cv2.threshold(edges, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)[1]

# 进行形态学处理，填充边缘空隙
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5,5))
closed = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel)

# 寻找轮廓，并筛选出矩形
contours, _ = cv2.findContours(closed, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for contour in contours:
    rect = cv2.minAreaRect(contour)
    box = cv2.boxPoints(rect)
    box = box.astype(int)
    cv2.drawContours(img, [box], 0, (0, 0, 255), 2)  # 绘制矩形

# 显示结果
cv2.imshow('Image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

请将“yourimage.jpg”替换成你想要检测的图像路径。这份代码会对图像进行Sobel算子边缘检测，并找到其中的矩形，然后在图像上绘制出矩形。