Image Threshold Segmentation Method with 2-D Histogram Based on Multi-resolution Analysis

摘要：

This paper proposed an auto-adaptive threshold method of two-dimensional (2-D) histogram based on multiresolution analysis (MRA), decreasing the calculation complexity of 2-D histogram whereas improving the searching precision of multi-resolution threshold method. Such method originates from the extraordinary segmentation effects achieved by 2-D histogram threshold segmentation method through the spatial correlation of gray level and the flexibility as well as efficiency of the threshold searching of multi-resolution threshold segmentation method. Experiments results demonstrated that such method can obtain segmentation results similar with the exhaustive 2-D histogram method, whereas the calculation complexity decreases exponentially with the increase of resolution level.

关键词： Histogram Multi-resolution Threshold Image Segmentation

作者: Shuqian He Jiangqun Ni Lihua Wu Hongjian Wei Sixuan Zhao

作者单位: School of Information Science and Technology Sun Yat-Sen University Guangzhou, China School of Infor School of Information Science and Technology Sun Yat-Sen University Guangzhou, China School of Information Science and Technology Hainan Normal University Hainan, China School of Electronic and Information Engineering Beihang University Beijing, China

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 753-757

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）