UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRCU06091


Registration ID:
218076

Page Number

445-450

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Title

PREDICTING OPTIMAL FEATURES IN THE CONTEXT OF MEDICAL IMAGE RETRIEVAL WITH THE AID OF SUPPORT VECTOR MACHINE (SVM)

Abstract

The aim of this work is to enhance the retrieving performance of medical images by incorporating optimization techniques. This includes four different medical images such as brain, lung, mammogram and ultrasound. This RGB images change into grey scale images then given for feature extraction.Features are shape, color and texture (Grey-Level Co-occurrence Matrix (GLCM) and Grey-Level Run Length Matrix (GLRLM) for image retrieval. The extracted features optimized using Genetic Algorithm (GA) and Crow Search Optimization (CSO) algorithm. From this, CSO performed better and attain optimal features. Then Support Vector Machine (SVM) classification technique is implemented. The results obtained the performance of precision, recall and f-measure for brain, lung, mammogram and ultrasound images and then retrieve images for given query image.

Key Words

Medical Images, Grey-Level Co-occurrence Matrix (GLCM), Grey-Level Run Length Matrix (GLRLM), Crow Search Optimization (CSO) and Support Vector Machine (SVM).

Cite This Article

"PREDICTING OPTIMAL FEATURES IN THE CONTEXT OF MEDICAL IMAGE RETRIEVAL WITH THE AID OF SUPPORT VECTOR MACHINE (SVM)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.445-450, May 2019, Available :http://www.jetir.org/papers/JETIRCU06091.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PREDICTING OPTIMAL FEATURES IN THE CONTEXT OF MEDICAL IMAGE RETRIEVAL WITH THE AID OF SUPPORT VECTOR MACHINE (SVM)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp445-450, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06091.pdf

Publication Details

Published Paper ID: JETIRCU06091
Registration ID: 218076
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 445-450
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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