Python的分水岭算法如何分割图像？

分水岭算法是一种图像分割算法。它将图像分割为两个或多个连通区域。算法使用图像的梯度信息来确定图像中的“分水岭”。分水岭是指图像中的边界或轮廓。算法通过找到图像中的分水岭来将图像分割成不同的区域。

以下是分水岭算法Python 示例：

　　import cv2

　　import numpy as np

　　# Load the image

　　image = cv2.imread("image.jpg")

　　gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

　　# Apply the thresholding to create a binary image

　　ret, thresh = cv2.threshold(gray, 0, 255, 　　cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)

　　# Perform a distance transform

　　distance = cv2.distanceTransform(thresh, cv2.DIST_L2, 5)

　　ret, sure_fg = cv2.threshold(distance, 0.7*distance.max(), 255, 0)

　　# Perform the watershed algorithm

　　sure_fg = np.uint8(sure_fg)

　　unknown = cv2.subtract(thresh, sure_fg)

　　ret, markers = cv2.connectedComponents(sure_fg)

　　# Add one to all labels so that sure background is not 0, but 1

　　markers = markers+1

　　# Now, mark the region of unknown with zero

　　markers[unknown==255] = 0

　　markers = cv2.watershed(image, markers)

　　# Create the output image

　　image[markers == -1] = [255,0,0]

　　# Display the output image

　　cv2.imshow("Segmented Image", image)

　　cv2.waitKey(0)

　　cv2.destroyAllWindows()