JOURNAL ARTICLE

An efficient reflection invariance region‐based image retrieval framework

Chi‐Chou KaoYen‐Tai LaiChia‐Hui Lin

Year: 2010 Journal:   International Journal of Imaging Systems and Technology Vol: 20 (2)Pages: 155-161   Publisher: Wiley

Abstract

Abstract The shape context is used as the shape feature descriptor in a region‐based image retrieval system. However, a given image is uneasy to be retrieved if the images are reflected. To retrieve efficiently different images, an efficient reflection invariance region‐based image retrieval framework is presented in this article. In the proposed reflection invariance algorithm, the reflecting shape contexts together are first clustered and then label each cluster so that the shape contexts in each cluster have the same label. Using the histogram of label frequencies can quickly and efficiently search for similar or reflecting shapes. The experimental results have shown that our region‐based image retrieval system is effective and has better retrieval performance than the existing systems. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 155–161, 2010

Keywords:
Image retrieval Computer science Artificial intelligence Image (mathematics) Shape context Histogram Reflection (computer programming) Context (archaeology) Pattern recognition (psychology) Feature (linguistics) Computer vision Visual Word Geography

Metrics

1
Cited By
0.32
FWCI (Field Weighted Citation Impact)
15
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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