中国计量学院学报2012，Vol.23Issue(4)：373-378,6.
分水岭变换和统计区域合并的图像分割算法研究
Image segmentation based on watershed transform and statistical region merging
邵明 1徐向纮1
作者信息
- 1. 中国计量学院机电工程学院,浙江杭州310018
- 折叠
摘要
Abstract
A hybrid image segmentation using watershed transform and statistical region merging(ISRM) is proposed. This method takes a comprehensive utilization of Gaussian lowpass filters (GLPFs), watershed transform and statistical region merging(SRM). The segmentation markers will be extracted from the original image. Then Meyer watershed transform is applied on the original image using those labels. Finally, statistical region merging is used to merge the over-segmentation images. One input parameter is needed in this method to build a hierarchy of coarse-to-fine (multi-scale) segmentation of an image. The results show that the simplicity and robustness of the approach make it possible to cope with noise corruption.关键词
标记分水岭/Meyer算法/统计区域合并/图像分割Key words
marker watersheds/Meyer algorithm/statistical region merging/image segmentation分类
信息技术与安全科学引用本文复制引用
邵明,徐向纮..分水岭变换和统计区域合并的图像分割算法研究[J].中国计量学院学报,2012,23(4):373-378,6.
