An enhanced shape descriptor based on radial distances

Tiagrajah V. Janahiraman, A. A.S.Muhammad Razeen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Contour and region based descriptors are among the main approaches in content based image retrieval (CBIR). In the contour based approaches, Fourier Transform is applied on the shape signatures to obtain Fourier descriptors (FD), which has attractive properties such as rotational, scale, and translational invariance. However, the FD derived from different signatures can have significant effect on the performance of retrieval. In this paper we introduce a new shape signature, which is called the radial distance with triangular centroid area (RDTCA) signature. Based on our retrieval experiments using Kimia 99 and Kimia 216 dataset, FD derived from RDTCA signature outperformed the FD derived from other signatures in terms of robustness and retrieval performance.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
Pages472-477
Number of pages6
DOIs
Publication statusPublished - 01 Dec 2011
Event2011 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011 - Kuala Lumpur, Malaysia
Duration: 16 Nov 201118 Nov 2011

Publication series

Name2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011

Other

Other2011 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
CountryMalaysia
CityKuala Lumpur
Period16/11/1118/11/11

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

V. Janahiraman, T., & Razeen, A. A. S. M. (2011). An enhanced shape descriptor based on radial distances. In 2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011 (pp. 472-477). [6144073] (2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011). https://doi.org/10.1109/ICSIPA.2011.6144073