Based on the Mean Shift Clustering Multilevel Threshold Method

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Based on the Mean Shift Clustering Multilevel Threshold Method

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[1]Cheng Quan,Liu Xiaoqing,Liu Yuchun,et al.Based on the Mean Shift Clustering Multilevel Threshold Method[J].Journal of Zhengzhou University (Engineering Science),2017,38(06):64-69.[doi:10.13705/j.issn.1671-6833.2017.06.009]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 38 Number of periods: 2017 06 Page number: 64-69 Column: Public date: 2017-11-20

Title:: Based on the Mean Shift Clustering Multilevel Threshold Method

Author(s):: Cheng Quan1; Liu Xiaoqing1; Liu Yuchun1; Wang Zhiliang2; 1. School of Mechanical and Electrical Engineering, Zhoukou Normal University, Zhoukou, Henan, 466001, China; 2. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083

Keywords:: multilevel thresholding; image segmentationi; terative threshold selection; segmentation evaluation

CLC:: -

DOI:: 10.13705/j.issn.1671-6833.2017.06.009

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.

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