Content-based Image Retrieval for Medical Image

被引：4

作者：

Zheng, Kaimei ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Century Coll, Dept Comp Sci, Beijing, Peoples R China

来源：

2015 11TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2015年

关键词：

contented based image retrieval; integated region matching; wavelet transform; medical image;

D O I：

10.1109/CIS.2015.61

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the SIMPLIcity (Semantics-sensitive Integrate Matching for Picture Libraries), an image retrieval system is introduced. The feature extraction is based on Histogram, color layout and coefficients of wavelet transform. This retrieving system adopts feature database for matching so as to reduce the search space which is especially useful in a larger image database. Retrieval images are selected according to the closest similar measures computed by distance. Under experiments of 600 medical images, this method shows a higher performance of matching. And the similarity defined by l(1) for searching is more suitable for gray images.

引用

页码：219 / 222

页数：4

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