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논문검색

Image Feature Representation Using Code Vectors for Retrieval

원문정보

Ahmad Nishat, 조혜, 박종안, 박승진, 양원일

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

The paper presents an algorithm which uses code vectors to represent comer geometry information for searching the similar images from a database. The comers have been extracted by finding the intersections of the detected lines found using Hough transform. Taking the comer 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 comer 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 comers being noise invariant produce good results in noisy environments.

목차

Abstract
 I. Introduction
 II. Prior Work
 III. Proposed algorithm
 IV. Experimental results
 V. Performance Evaluation
 VI. Conclusion
 References

저자정보

  • Ahmad Nishat 조선대학교 정보통신학과 박사수료
  • 조혜 Hui Zhao. 조선대학교 정보통신학과 석사과정
  • 박종안 Jong-An Park. 조선대학교 정보통신학과 교수
  • 박승진 Seung-Jin Park. 조선대학교 의공학과 교수
  • 양원일 Won-II Yang. 조선대학교 전자공학과 교수

참고문헌

자료제공 : 네이버학술정보

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