NDLI: Content-based image retrieval incorporating models of human perception

Content Provider	IEEE Xplore Digital Library
Author	Celebi, M.E. Aslandogan, Y.A.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Texas Univ., Arlington, TX, USA (Celebi, M.E.; Aslandogan, Y.A.)
Abstract	We develop a system for retrieving medical images with focus objects incorporating models of human perception. The approach is to guide the search for an optimum similarity function using human perception. First, the images are segmented using an automated segmentation tool. Then, 20 shape features are computed from each image to obtain a feature matrix. Principal component analysis is performed on this matrix to reduce the number of dimensions. Principal components obtained from the analysis are used to select a subset of variables that best represents the data. A human perception of similarity experiment is designed to obtain an aggregated human response matrix. Finally, an optimum weighted Manhattan distance function is designed using a genetic algorithm utilizing the Mantel test as a fitness function. The system is tested for content-based retrieval of skin lesion images. The results show significant agreement between the computer assessment and human perception of similarity. Since the features extracted are not specific to skin lesion images, the system can be used to retrieve other types of images.
Sponsorship	IEEE Comput. Soc. Task Force on Information Technology for Business Application
Starting Page	241
Ending Page	245
File Size	1396266
Page Count	5
File Format	PDF
ISBN	0769521088
DOI	10.1109/ITCC.2004.1286639
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-04-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Content based retrieval Humans Image segmentation Skin Lesions Biomedical imaging Focusing Shape Principal component analysis
Content Type	Text

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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	Mr. Siddhartha Mukherjee siddhartha@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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