An enhanced shape descriptor based on radial distances
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 transla...
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my.uniten.dspace-303792023-12-29T15:47:13Z An enhanced shape descriptor based on radial distances Tiagrajah V.J. Razeen A.A.S.M. 35198314400 57193976108 CBIR Fourier descriptors Retrieval Shape Content based retrieval Image processing CBIR Content-Based Image Retrieval Data sets Descriptors Fourier descriptors Radial distance Region-based Retrieval Retrieval performance Shape Shape descriptors Shape signatures Translational invariance Finite difference method 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. � 2011 IEEE. Final 2023-12-29T07:47:13Z 2023-12-29T07:47:13Z 2011 Conference paper 10.1109/ICSIPA.2011.6144073 2-s2.0-84857465739 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857465739&doi=10.1109%2fICSIPA.2011.6144073&partnerID=40&md5=d3e9d6886a8e3da3f524679d933cbf6e https://irepository.uniten.edu.my/handle/123456789/30379 6144073 472 477 Scopus |
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CBIR Fourier descriptors Retrieval Shape Content based retrieval Image processing CBIR Content-Based Image Retrieval Data sets Descriptors Fourier descriptors Radial distance Region-based Retrieval Retrieval performance Shape Shape descriptors Shape signatures Translational invariance Finite difference method |
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CBIR Fourier descriptors Retrieval Shape Content based retrieval Image processing CBIR Content-Based Image Retrieval Data sets Descriptors Fourier descriptors Radial distance Region-based Retrieval Retrieval performance Shape Shape descriptors Shape signatures Translational invariance Finite difference method Tiagrajah V.J. Razeen A.A.S.M. An enhanced shape descriptor based on radial distances |
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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. � 2011 IEEE. |
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35198314400 |
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35198314400 Tiagrajah V.J. Razeen A.A.S.M. |
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Conference paper |
author |
Tiagrajah V.J. Razeen A.A.S.M. |
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Tiagrajah V.J. |
title |
An enhanced shape descriptor based on radial distances |
title_short |
An enhanced shape descriptor based on radial distances |
title_full |
An enhanced shape descriptor based on radial distances |
title_fullStr |
An enhanced shape descriptor based on radial distances |
title_full_unstemmed |
An enhanced shape descriptor based on radial distances |
title_sort |
enhanced shape descriptor based on radial distances |
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2023 |
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1806428311046324224 |