KIEE International Transaction on Systems and Control
- Volume 12D Issue 1
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- Pages.7-11
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- 2002
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- 1598-3595(pISSN)
Shape-based Image Retrieval using VQ based Local Differential Invariants
- Kim , Hyun-Sool (Mobile Communication Division, Samsung Electronics Co) ;
- Shin, Dae-Kyu (Dept. of Electrical and Electronics Engineering, Yonsei Univ) ;
- Chung , Tae-Yun (Dept. of Control and Instrumentation Engineering, Kangnung National University) ;
- Park , Sang-Hui (Dept. of Electrical and Electronics Engineering, Yonsei Univ)
- Published : 2002.03.01
Abstract
In this study, fur the shape-based image retrieval, a method using local differential invariants is proposed. This method calculates the differential invariant feature vector at every feature point extracted by Harris comer point detector. Then through vector quantization using LBG algorithm, all feature vectors are represented by a codebook index. All images are indexed by the histogram of codebook index, and by comparing the histograms the similarity between images is obtained. The proposed method is compared with the existing method by performing experiments for image database including various 1100 trademarks.
Keywords
- content-based image retrieval;
- Harris comer point detector;
- differential invariants;
- vector quantization