Four Side Distance: A New Fourier Shape Signature

TL;DR

This paper introduces a novel Fourier-based shape signature called Four Side Distance (FSD) for content-based image retrieval, demonstrating superior performance over existing signatures on the MPEG-7 database.

Contribution

The paper presents a new shape signature that uses four sides of a bounding rectangle, offering invariance to translation, scaling, and rotation, and improves retrieval accuracy.

Findings

FSD signature outperforms existing Fourier-based signatures

The method is invariant to translation, scaling, and rotation

Experimental validation on MPEG-7 database shows improved performance

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.