원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.6 No.4
2013.08
pp.61-68
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Shape is one of the main low level features in content based image retrieval systems (CBIR). This paper proposes a novel CBIR technique based on shape feature. In this technique feature extraction is based on a rectangle that covers a shape. The proposed signature is a Fourier based technique and it is invariant against translation, scaling and rotation. The retrieval performance between some commonly used Fourier based signatures and our Smallest Rectangle Centroid Distance (SRCD) signature has been tested using the MPEG-7 database. Experimental results show that the SRCD signature has a good performance compared with those shape signatures.
목차
Abstract
1. Introduction
2. Related works
2.1. Complex Coordinate (CC)
2.2. Polar Coordinate (PC)
2.3. Angular Function (AF)
2.4. Triangle Area Representation (TAR)
2.5. Chord Length Distance (CLD)
2.6. Angular Radial Coordinate (ARC)
3. The Proposed Signature
4. Experimental Results
5. Conclusions
References
1. Introduction
2. Related works
2.1. Complex Coordinate (CC)
2.2. Polar Coordinate (PC)
2.3. Angular Function (AF)
2.4. Triangle Area Representation (TAR)
2.5. Chord Length Distance (CLD)
2.6. Angular Radial Coordinate (ARC)
3. The Proposed Signature
4. Experimental Results
5. Conclusions
References
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자료제공 : 네이버학술정보