Title :
Effective classification of radiographic medical images using LS-SVM and NSCT based retrieval system
Author :
Chowdhury, Mashrur ; Das, S. ; Kundu, Malay Kumar
Author_Institution :
Machine Intell. Unit, Indian Stat. Inst., Kolkata, India
Abstract :
This paper presents a Content Based Medical Image Retrieval (CBMIR) system for diverse collection of radiographic images. Non-Subsampled Contourlet Transform (NSCT) and Fuzzy C-Means (FCM) technique is used to construct the image signature which is used as the image representative feature vector. Least Square-Support Vector Machine (LS-SVM) and Earth Mover´s Distance (EMD) is used to classify the images. Preliminary studies on a radiographic image Database (DB) consisting 1550 images of 31 different modalities show promising result.
Keywords :
content-based retrieval; diagnostic radiography; feature extraction; fuzzy set theory; image classification; image representation; image retrieval; least squares approximations; medical image processing; support vector machines; transforms; CBMIR system; EMD; FCM technique; LS-SVM; NSCT based retrieval system; content based medical image retrieval system; diverse collection; earth mover´s sistance; fuzzy c-means technique; image representative feature vector; image signature; least square-support vector machine; nonsubsampled Contourlet transform; radiographic image database; radiographic images; radiographic medical image classification; CBMIR; EMD; FCM; LS-SVM; NSCT;
Conference_Titel :
Computers and Devices for Communication (CODEC), 2012 5th International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-2619-3
DOI :
10.1109/CODEC.2012.6509345
