A NEW METHOD OF MEDICAL IMAGE RETRIEVAL BASED ON COLOR-TEXTURE CORRELOGRAM AND GTI MODEL

被引：8
|
作者：
Xiao-Ying, Tai [1 ]
Li-Dong, Wang [2 ]
Qin, Chen [3 ]
Fuji, Ren [4 ]
Kenji, Kita [5 ]
机构：
[1] Ningbo Univ, Inst Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China
[2] Hangzhou Normal Univ, Qianjiang Coll, Hangzhou 310012, Zhejiang, Peoples R China
[3] Ningbo Univ, Inst Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China
[4] Univ Tokushima, Fac Engn, Tokushima 7708506, Japan
[5] Univ Tokushima, Ctr Adv Informat Technol, Tokushima 7708506, Japan
来源：
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING | 2009年 / 8卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Medical image retrieval; endoscopic images; color correlogram; texture spectrum; color-texture correlogram; GTI model;
D O I：
10.1142/S0219622009003363
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a method for endoscopic image retrieval based on color-texture correlogram and Generalized Tversky's Index (GTI) model. First we de. ne a new image feature named color-texture correlogram, which is the extension of color correlogram. The texture image extracted by texture spectrum algorithm is combined with color feature vector, and then we calculate the spatial correlation of color-texture feature vector. Similarity metric is also the key technology during domain of image retrieval, GTI model is used in medical image retrieval for similarity metric, and the technique of relevance feedback is used in the algorithm to enhance the efficiency of retrieval. Experimental results show that the method discussed in this paper is much more effective.
引用
收藏
页码：239 / 248
页数：10
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