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。

分水岭算法  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()

  The code first loads an image, converts it to grayscale, applies a threshold to create a binary image, performs a distance transform, and then applies the watershed algorithm using the markers generated by the connectedComponents function. Finally, it marks the segments in the image with the -1 marker with blue color.

 

关于TeamDoc软件:

TeamDoc是基于服务器/客户端架构的轻量级文件管理软件。TeamDoc将文件集中加密存储在您单位自己的服务器中,员工使用TeamDoc客户端访问服务器,从而获得与自己权限相关的权限:登入后与“我的电脑”界面类似,可以看到自己该看的文件,编辑自己能编辑的文档,对于能看到的文件,还可以细分文档权限,进而做到能看不能拷,能看不能截屏等功能,多种权限灵活设置,在线协同编辑、全文搜索、日志与版本追踪,快速构建企业文档库。告别假大空,我们提供值得您选择的、易用的、可用的文档管理软件。现在就访问TeamDoc首页

版权所有:南京网亚计算机有限公司,本文链接地址: Python的分水岭算法如何分割图像?