A Critical Performance Evaluation of Classification Methods with Modified JPEG Decompressed Multiband Images

A Critical Performance Evaluation of Classification Methods with Modified JPEG Decompressed Multiband Images

Ch. Ramesh

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Dr. N.B. Venkateswarlus

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Dr. J.V.R. Murthy

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1 Aditya Institute of Technology and Management/JNTUK

GJRE Volume 13 Issue F16

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.

Effective utilization of bandwidth andstorage space is important in imaging applicationsincluding remote sensing. Remote sensingapplications use multi-sensory, multiband, multiresolution images. Usually, remote sensingapplications uses image classification results fortheir analysis and decision making. In this paper wepropose a new JPEG based image compressionalgorithm based on filters. Proposed algorithmperformance is evaluated in relation to conventionalJPEG algorithm. In order to envisage the effect ofcompression on classification performance, MaximumLikelihood, Mahalanobis and Euclidean distanceclassifiers performance is evaluated with originalimage data, conventional JPEG compressed data andthe compressed image data with the proposedmethod. Experiments are carried out with manymulti-band images. Our experiments supports thatthe classification accuracies of compressed imagesare at par with original image data.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Ch. Ramesh. 2014. \u201cA Critical Performance Evaluation of Classification Methods with Modified JPEG Decompressed Multiband Images\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 13 (GJRE Volume 13 Issue F16): .

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GJRE Volume 13 Issue F16
Pg. 41- 55

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Confusion matrix euclidean filters joint photo experts group (jpeg)kappa coefficient mahalanobis maximum likelihood

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Submission ReceivedDecember 15, 2012
RevisedDecember 15, 2012
Peer Review Double Blind
Handling Editor
Accepted January 1, 2013
Published January 15, 2013

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Issue date

January 24, 2014

Language

English

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Article Matrices

Total Score: 113

Country: India

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: Ch. Ramesh, Dr. N.B. Venkateswarlus, Dr. J.V.R. Murthy (PhD/Dr. count: 2)

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