A DISTRIBUTIONAL APPROACH FOR IMAGE RETRIEVAL USING HOTELLING’S T-SQUARE STATISTIC
Abstract
vioft2nntf2t|tblJournal|Abstract_paper|0xf4ffa8d91d0000003523030001000200
This paper proposes a novel method, based on a statistical probability distributional approach, Hotelling’s T2 statistic and Orthogonality test. If the input query image is structured, it is segmented into various regions according to its nature and structure. Otherwise, the image is treated as textured; and it is considered for the experiment as it is. The test statistic T2 is applied on each region and compares it to the target image. If the test of hypothesis is accepted, it is inferred that the query and target images are same or similar. Otherwise, it is assumed that they belong to different groups. Moreover, the Eigen vectors are computed on each region, and the orthogonality test is employed to measure the angle between the two images. The obtained results outperform the existing methods.

Authors
K. Seetharaman1, S. Muthukumar2
Annamalai University, India1, Manonmaniam Sundaranar University, India2

Keywords
Query Image, Target Image, Hotelling’s T2 Statistic, Canberra Distance, Similarity
Yearly Full Views
JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
000000000000
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 6 , Issue: 3 , Pages: 1207-1212 )
Date of Publication :
February 2016
Page Views :
182
Full Text Views :

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.