NDLI: Image Classification and Retrieval using Correlation

Content Provider	IEEE Xplore Digital Library
Author	Ahmad, I. Ibrahim, M.T.
Copyright Year	2006
Description	Author affiliation: University of Windsor, Windsor, ON N9B 3P4 - Canada (Ahmad, I.)
Abstract	Image retrieval methods aim to retrieve relevant images from an image database that are similar to the query image. The ability to effectively retrieve non-alphanumeric data is a complex issue. The problem becomes even more difficult due to the high dimension of the variable space associated with the images. Image classification is a very active and promising research domain in the area of image management and retrieval. In this paper, we propose a new image classification and retrieval scheme that automatically selects the discriminating features. Our method consists of two phases: (i) classification of images on the basis of maximum cross correlation and (ii) retrieval of images from the database against a given query image. The proposed retrieval algorithm recursively searches similar images on the basis of their correlation against a given query image from a set of registered images in the database. The algorithm is very efficient, provided that the mean images of all of the classes are computed and available in advance. The proposed method classifies the images on the basis of maximum correlation so that the images with more similarities and, hence, exhibiting maximum correlation with each other are grouped in the same class and, are retrieved accordingly.
Starting Page	60
Ending Page	60
File Size	505848
Page Count	1
File Format	PDF
ISBN	0769525423
DOI	10.1109/CRV.2006.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-07
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Image registration Content based retrieval Image databases Space technology Image retrieval Information retrieval Pattern recognition Information technology Image classification
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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