Reduction of Over Segmentation in JS']JSEG Using Canny Edge Detector

被引：0
|
作者：
Kibria, A. F. M. Golam [1 ]
Islam, Md Monirul [1 ]
机构：
[1] Bangladesh Univ Engn & Technol, Dept CSE, Dhaka, Bangladesh
来源：
2012 INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) | 2012年
关键词：
UNSUPERVISED SEGMENTATION; IMAGE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An improved version for the JSEG color image segmentation algorithm has been presented in this paper integrating the presence of edge in canny edge detector. One major inherent problem in JSEG is that it suffers from over segmentation which ultimately reduces the segmentation quality. The focus is given to reduce the over segmentation problem in JSEG by examining the presence of canny edge between every two adjacent segment created in JSEG which matches human perception. Experiments on natural images show improved result.
引用
收藏
页码：65 / 69
页数：5
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