郑州大学学报（工学版）2017，Vol.38Issue(6)：64-69,6.DOI:10.13705/j.issn.1671-6833.2017.06.009
基于Mean Shift聚类的多级阈值化方法
Based on the Mean Shift Clustering Multilevel Threshold Method
摘要
Abstract
In order to solve the problem that the number of selected thresholds in multilevel thresholds cannot be usually predetermined,a novel multi-level thresholding method based on Mean Shift Clustering technique was proposed.Using Mean Shift technology to explore the potential mode center,the various thresholds of ad-jacent to the mode center was automatically determined by using of iterative threshold selection method, and then the method of multi-level threshold was used for image segmentation.The experimental results showed that,relative to the original image,contrast of the image split with Mean Shift clustering technique was greatly improved.This method could control the segmentation precision flexibly by simply modifying parameters of the program,and could be widely used in the technology of single threshold segmentation, multi-level threshold segmentation and detrimental compression and other technologies.关键词
多级阈值化/图像分割/迭代阈值化/分割质量评估Key words
multilevel thresholding/image segmentation/iterative threshold selection/segmentation evalua-tion分类
信息技术与安全科学引用本文复制引用
程全,刘晓青,刘玉春,王志良..基于Mean Shift聚类的多级阈值化方法[J].郑州大学学报（工学版）,2017,38(6):64-69,6.基金项目
国家自然科学基金资助项目(61401526) （61401526）
河南省自然科学基金资助项目(152300410134) （152300410134）
