Content Based Medical Image Retrieval System using Fourier Descriptors Feature for Nose Images

International Journal of Electronics and Communication Engineering

© 2016 by SSRG - IJECE Journal

Volume 3 Issue 12

Year of Publication : 2016

Authors : Manoj Kumar and Kh.Manglem Singh

10.14445/23488549/IJECE-V3I12P101

How to Cite?

Manoj Kumar and Kh.Manglem Singh, "Content Based Medical Image Retrieval System using Fourier Descriptors Feature for Nose Images," SSRG International Journal of Electronics and Communication Engineering, vol. 3,  no. 12, pp. 1-4, 2016. Crossref, https://doi.org/10.14445/23488549/IJECE-V3I12P101

Abstract:

This paper aims to concentrate on a specific medical domain. In this work, retrieval of nose diseases images has been done by using Fourier descriptors feature. Fourier descriptors feature is a shape -based feature. Shape features are extracted from the given input images. Then these extracted features are stored in the database. Features which are stored in the database are compared with query feature. For similarity measurement, Euclidean distance method is used. Similar images are retrieved from the database. This system helps doctors in clinical care and research.

Keywords:

CBMIR, Fourier descriptor, Euclidean Method, Precision, Recall.

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