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基于区域分离与聚合的分水岭分割
引用本文:王祥,罗素云. 基于区域分离与聚合的分水岭分割[J]. 计算机与数字工程, 2021, 49(1): 190-195. DOI: 10.3969/j.issn.1672-9722.2021.01.038
作者姓名:王祥  罗素云
作者单位:上海工程技术大学机械与汽车工程学院 上海 201620;上海工程技术大学机械与汽车工程学院 上海 201620
摘    要:针对目前采用分水岭变换实现的图像分割容易出现过分割,导致图像分割边缘不明显现象,使得分割之后图像边缘失真.论文提出了一种结合拉普拉斯滤波和区域分离与聚合的改进分水岭变换图像分割方法.仿真结果表明,与传统的分水岭图像分割方法相比,该方法分割出的图像能有效抑制图像的过分割现象.

关 键 词:过分割  区域分离与聚合  分水岭变换  图像分割

Watershed Segmentation Based on Region Separation and Aggregation
WANG Xiang,LUO Suyun. Watershed Segmentation Based on Region Separation and Aggregation[J]. Computer and Digital Engineering, 2021, 49(1): 190-195. DOI: 10.3969/j.issn.1672-9722.2021.01.038
Authors:WANG Xiang  LUO Suyun
Affiliation:(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620)
Abstract:In view of the fact that the image segmentation of the current watershed transform is prone to over-segmentation,which leads to the inconspicuous image segmentation edge,and leads to the large image distortion after segmentation.In this paper,an improved image segmentation method of watershed transform combined with Laplace filtering and regional separation and aggrega?tion is proposed.The simulation results show that compared with the traditional watershed image segmentation method,this method can effectively suppress the over-segmentation of images.
Keywords:over-segmentation  region separation and aggregation  watershed transform  image segmentation
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