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Four Side Distance: A New Fourier Shape Signature

2013/02/24 by Sonya Eini, Eini, Sonya, Abdolah Chalechale +1
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Medical Image Segmentation Techniques #cs.CV

paper · pdf · doi:10.48550/arxiv.1302.5894

6 pages, 7 figures, International Journal of Advanced Studies in Computers, Science and Engineering

arxiv created 2013/02/24 · openalex publication_date 2013/02/24 · arxiv updated 2013/02/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Shape is one of the main features in content based image retrieval (CBIR). This paper proposes a new shape signature. In this technique, features of each shape are extracted based on four sides of the rectangle that covers the shape. The proposed technique is Fourier based and it is invariant to translation, scaling and rotation. The retrieval performance between some commonly used Fourier based signatures and the proposed four sides distance (FSD) signature has been tested using MPEG-7 database. Experimental results are shown that the FSD signature has better performance compared with those signatures.

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