Image Feature Representation Using Code Vectors for Retrieval

Ahmad Nishat; 조혜; 박종안; 박승진; 양원일

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자료유형: 학술저널

저자정보: Ahmad Nishat 조혜 박종안 박승진 양원일

저널정보: 한국ITS학회 한국ITS학회 논문지 한국ITS학회 논문지 제8권 제3호

발행연도: 2009.1

수록면: 122 - 130 (9page)

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The paper presents an algorithm which uses code vectors to represent corner geometry information for searching the similar images from a database. The corners have been extracted by finding the intersections of the detected lines found using Hough transform. Taking the corner as the center coordinate, the angles of the intersecting lines are determined and are represented using code vectors. A code book has been used to code each corner geometry information and indexes to the code book are generated. For similarity measurement, the histogram of the code book indexes is used. This result in a significant small size feature matrix compared to the algorithms using color features. Experimental results show that use of code vectors is computationally efficient in similarity measurement and the corners being noise invariant produce good results in noisy environments.

#CBIR #content based image retrieval #code vector #image features #image retrieval

참고문헌 (21)

참고문헌 신청

A. Diou / 1996 / The Hough transform-a new approach / Proc. IEEE Conf. Industrial Electronics, Control, and Instrumentation 3 : 1612 ~ 1617

A. L. Kesidis / 1999 / On the inverse Hough transform / IEEE Trans. Pattern Analysis and Machine Intelligence 21 (12) : 1329 ~ 1343

A. Rattarrangsi / 1992 / Scale-based detection of corners of planar curves / IEEE Trans. Pattern Analysis and Machine Vision 14 (4) : 430 ~ 449

D. G. Sim / 2001 / Fast texture description and retrieval of DCT based compressed images / Electron. Lett. 37 (1) : 18 ~ 19

D. H. Ballard / 1981 / Generalizing the Hough transform to detect arbitrary shapes / Pattern Recognition 13 (2) : 111 ~ 122

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