A New Image Segmentation Approach by using Automation Threshold Selection

摘要：

This paper presents a new image segmentation approach by suing automatic threshold selection. This approach divides the image into 2 class. The best threshold is got when the separation between the interclass variance and the variance between clasters is the maximal. Experimental results show this new approach can segment images automatically and quickly.

作者: YunLan Zou Bencheng Chai QiLi Xiao

作者单位: School of Computer Science and Information Technology Zhejiang Wanli University Ningbo,Zhejiang 315100, P.R. China

会议类型: 国际会议

会议名称: Sixth International Conference on Semantics,Knowledge and Grids(第六届语义、知识与网格国际会议 SKG 2010)

会议地点: 宁波

会议语种:英文

页码: 410-413

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）