A ROI image retrieval method based on CVAAO

被引：20

作者：

Chan, Yung-Kuan ^{[1
]}

Ho, Yu-An ^{[2
]}

Liu, Yi-Tung ^{[3
]}

Chen, Rung-Ching ^{[3
]}

机构：

[1] Natl Chung Hsing Univ, Dept Management Informat Syst, Taichung 402, Taiwan

[2] Natl Chung Hsing Univ, Dept Comp Sci, Taichung 402, Taiwan

[3] Chaoyang Univ Technol, Dept Informat Management, Wufeng, Taichung County, Taiwan

来源：

IMAGE AND VISION COMPUTING | 2008年 / 26卷 / 11期

关键词：

RCI image retrieval; color-based image retrieval; color histogram; fuzzy color histogram; hierarchical overlapping segmentation;

D O I：

10.1016/j.imavis.2008.04.019

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel image feature called color variances among adjacent objects (CVAAO) is proposed in this study. Characterizing the color variances between contiguous objects in an image, CVAAO can effectively describe the principal colors and texture distribution of the image and is insensitive to distortion and scale variations of images. Based on CVAAO, a CVAAO-based image retrieval method is constructed. When given a full image, the CVAAO-based image retrieval method delivers the database images most similar to the full image to the user. This paper also presents a CVAAO-based ROI image retrieval method. When given a clip, the CVAAO-based ROI image retrieval method submits to the user a database image containing a target region most similar to the clip. The experimental results show that the CVAAO-based ROI image retrieval method can offer impressive results in finding out the database images that meet user requirements. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：1540 / 1549

页数：10

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