COLOR IMAGE RETRIEVAL BASED ON FEATURE FUSION THROUGH MULTIPLE LINEAR REGRESSION ANALYSIS

This paper proposes a novel technique based on feature fusion using multiple linear regression analysis, and the least-square estimation method is employed to estimate the parameters. The given input query image is segmented into various regions according to the structure of the image. The color and...

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Main Authors: K. Seetharaman, R. Shekhar
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2015-08-01
Series:ICTACT Journal on Image and Video Processing
Subjects:
Online Access:http://ictactjournals.in/paper/IJIVP_Paper_3_pp_1066_1071.pdf
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author K. Seetharaman
R. Shekhar
author_facet K. Seetharaman
R. Shekhar
author_sort K. Seetharaman
collection DOAJ
description This paper proposes a novel technique based on feature fusion using multiple linear regression analysis, and the least-square estimation method is employed to estimate the parameters. The given input query image is segmented into various regions according to the structure of the image. The color and texture features are extracted on each region of the query image, and the features are fused together using the multiple linear regression model. The estimated parameters of the model, which is modeled based on the features, are formed as a vector called a feature vector. The Canberra distance measure is adopted to compare the feature vectors of the query and target images. The F-measure is applied to evaluate the performance of the proposed technique. The obtained results expose that the proposed technique is comparable to the other existing techniques.
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spelling doaj.art-1b2f1131cd084c1aad4656a31cf1e12b2022-12-21T18:51:57ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022015-08-016110661071COLOR IMAGE RETRIEVAL BASED ON FEATURE FUSION THROUGH MULTIPLE LINEAR REGRESSION ANALYSISK. Seetharaman0R. Shekhar1Annamalai University, India1, Manonmaniam Sundaranar University, IndiaAnnamalai University, India1, Manonmaniam Sundaranar University, IndiaThis paper proposes a novel technique based on feature fusion using multiple linear regression analysis, and the least-square estimation method is employed to estimate the parameters. The given input query image is segmented into various regions according to the structure of the image. The color and texture features are extracted on each region of the query image, and the features are fused together using the multiple linear regression model. The estimated parameters of the model, which is modeled based on the features, are formed as a vector called a feature vector. The Canberra distance measure is adopted to compare the feature vectors of the query and target images. The F-measure is applied to evaluate the performance of the proposed technique. The obtained results expose that the proposed technique is comparable to the other existing techniques.http://ictactjournals.in/paper/IJIVP_Paper_3_pp_1066_1071.pdfRegressionFusionFeatureF-measureLeast-Square Estimate
spellingShingle K. Seetharaman
R. Shekhar
COLOR IMAGE RETRIEVAL BASED ON FEATURE FUSION THROUGH MULTIPLE LINEAR REGRESSION ANALYSIS
ICTACT Journal on Image and Video Processing
Regression
Fusion
Feature
F-measure
Least-Square Estimate
title COLOR IMAGE RETRIEVAL BASED ON FEATURE FUSION THROUGH MULTIPLE LINEAR REGRESSION ANALYSIS
title_full COLOR IMAGE RETRIEVAL BASED ON FEATURE FUSION THROUGH MULTIPLE LINEAR REGRESSION ANALYSIS
title_fullStr COLOR IMAGE RETRIEVAL BASED ON FEATURE FUSION THROUGH MULTIPLE LINEAR REGRESSION ANALYSIS
title_full_unstemmed COLOR IMAGE RETRIEVAL BASED ON FEATURE FUSION THROUGH MULTIPLE LINEAR REGRESSION ANALYSIS
title_short COLOR IMAGE RETRIEVAL BASED ON FEATURE FUSION THROUGH MULTIPLE LINEAR REGRESSION ANALYSIS
title_sort color image retrieval based on feature fusion through multiple linear regression analysis
topic Regression
Fusion
Feature
F-measure
Least-Square Estimate
url http://ictactjournals.in/paper/IJIVP_Paper_3_pp_1066_1071.pdf
work_keys_str_mv AT kseetharaman colorimageretrievalbasedonfeaturefusionthroughmultiplelinearregressionanalysis
AT rshekhar colorimageretrievalbasedonfeaturefusionthroughmultiplelinearregressionanalysis