UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 3
March-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1803263


Registration ID:
182205

Page Number

1387-1393

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Title

OPTIMAL REGION SIZE FOR AN EFFICIENT MEDICAL IMAGE RETRIEVAL

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Abstract

Medical Image Retrieval is an emerging area in research community from past four decades for providing a better healthcare decision making system. Extracting similar looking anatomical images from huge databases based on the features extracted from the images is known as Content Based Medical Image Retrieval (CBMIR). Though lot of work already done in this domain, researches are still trying for the new approaches to still improve the retrieval performance in terms of precision, recall and time of retrieval. Efficient retrieval of medical images better done with local features computed regionally over globally determined features. In this paper we presented a comparison analysis of retrieval performance of X-Ray images by computing the heterogeneous features for whole image and dividing the image into 16, 64 and 256 symmetrical regions. The features computed are (i) Intensity features using block pixel count, (ii) Texture attributes using Discrete Wavelet Transform (DWT) coefficients and (iii) Eigen values by computing Singular Value Decomposition (SVD) coefficients. Experimentation is done IRMA 2008 X-Ray image dataset. SVD based Eigen values and block pixel count features computed from smaller regions increased the MAP where as DWT energy computed over entire image shown good MAP compared to region wise features.

Key Words

RBMIR, SVD, DWT, Intensity features

Cite This Article

"OPTIMAL REGION SIZE FOR AN EFFICIENT MEDICAL IMAGE RETRIEVAL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.1387-1393, March 2018, Available :http://www.jetir.org/papers/JETIR1803263.pdf

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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

"OPTIMAL REGION SIZE FOR AN EFFICIENT MEDICAL IMAGE RETRIEVAL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp1387-1393, March 2018, Available at : http://www.jetir.org/papers/JETIR1803263.pdf

Publication Details

Published Paper ID: JETIR1803263
Registration ID: 182205
Published In: Volume 5 | Issue 3 | Year March-2018
DOI (Digital Object Identifier):
Page No: 1387-1393
Country: hyderabad, telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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