An efficient perceptual of CBIR system using MIL-SVM classification and SURF feature extraction
Joint Authors
Shanmugam, Bhuvana
Rathinavel, Radhakrishnan
Perumal, Tamije
Subbaiyan, Subhakala
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 4 (31 Jul. 2017), pp.428-435, 8 p.
Publisher
Publication Date
2017-07-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Hasty increase in use of color image in recent years has motivated to the need of retrieval system for color image.
Content Based Image Retrieval (CBIR) system is used to retrieve similar images from large image repositories based on color, texture and shape.
In CBIR, the invariance to geometrical transformation is one of the most desired properties.
Speeded Up Robust Feature (SURF) and Multiple Instance Learning Support Vector Machine (MIL-SVM) are proposed for extracting invariant features and improving the accuracy of image retrieval respectively.
The proposed system consists of the following phases 1) Image Segmentation using Quad tree Segmentation 2) Extraction of features using SURF 3) Classification of images using MIL-SVM 4) Codebook design using Lindae-Buzo-Gray (LBG) algorithm 5)Measurement of Similarity between Query image and the database image using Histogram Intersection (HI).
In comparison with the existing approach, the proposed approach significantly improves the retrieval accuracy from 74.5% to 86.3%
American Psychological Association (APA)
Shanmugam, Bhuvana& Rathinavel, Radhakrishnan& Perumal, Tamije& Subbaiyan, Subhakala. 2017. An efficient perceptual of CBIR system using MIL-SVM classification and SURF feature extraction. The International Arab Journal of Information Technology،Vol. 14, no. 4, pp.428-435.
https://search.emarefa.net/detail/BIM-902678
Modern Language Association (MLA)
Shanmugam, Bhuvana…[et al.]. An efficient perceptual of CBIR system using MIL-SVM classification and SURF feature extraction. The International Arab Journal of Information Technology Vol. 14, no. 4 (Jul. 2017), pp.428-435.
https://search.emarefa.net/detail/BIM-902678
American Medical Association (AMA)
Shanmugam, Bhuvana& Rathinavel, Radhakrishnan& Perumal, Tamije& Subbaiyan, Subhakala. An efficient perceptual of CBIR system using MIL-SVM classification and SURF feature extraction. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 4, pp.428-435.
https://search.emarefa.net/detail/BIM-902678
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 433-434
Record ID
BIM-902678