ROI Extraction Based on Rough Set

被引：1
|
作者：
Sun Junding [1 ]
Chen Suxia [1 ]
机构：
[1] Henan Polytech Univ, Sch Comp Sci & Technol, Jiaozuo, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL III, PROCEEDINGS, | 2009年
关键词：
Region of interest (ROI); Rough set theory; prior knowledge;
D O I：
10.1109/ESIAT.2009.452
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Region of interest (ROI) extraction plays an important part in image processing and analysis. Based on rough set theory, a ROI extraction algorithm was presented in the paper. Firstly, a rough ROI was determined based on the prior knowledge. Then, combining with the low-level features such as intensity, edge, location of the marked ROI, an information table reflecting the relation of classification was constructed and the basic regions were built based on its indiscernibility. Finally, the approximate region to the original rough ROI was considered as the final ROI. The experiments show that the new algorithm has higher accuracy and lower time complexity than the traditional methods.
引用
收藏
页码：207 / 209
页数：3
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