NDLI: OWA fuzzy linking histogram approach for image retrieval

Content Provider	IEEE Xplore Digital Library
Author	Mahmoudi, M.T. Beheshti, M. Lucas, C. Taghiyareh, F.
Copyright Year	2009
Description	Author affiliation: School of Electrical, and Computer Eng., College of Engineering, University of Tehran, Tehran, Iran (Taghiyareh, F.) \|\| School of Electrical, Computer Eng., University of Tehran, Iran (Mahmoudi, M.T.) \|\| Control and Intelligent Processing Lab, University of Tehran, Tehran, Iran (Lucas, C.) \|\| School of computer, engineering, Iran, University of Science & Technology, Tehran, Iran (Beheshti, M.)
Abstract	Color image histograms are very useful tools for content based image retrieval (CBIR) that can be applied on features such as colour, texture and shape. As these kinds of histograms results with large variations between neighbouring bins, they seem so sensitive to any kind of changes such as noise, illumination. To overcome this problem, in this paper, fuzzy linking histogram approach based on OWA aggregation operator is proposed, which is capable of projecting 3-dimensional (L∗a∗b∗) colour histograms into singledimension. The proposed method have been evaluated and compared with five other related methods in retrieving similar images from the common dataset which is available on http://utopia.duth.gr/~konkonst. The experimental results on 100 images within two categories of Cat and Sky reveals better performance of the proposed method in comparison with the other mentioned methods.
Starting Page	63
Ending Page	68
File Size	437438
Page Count	6
File Format	PDF
ISBN	9781424453108
DOI	10.1109/ICCCYB.2009.5393931
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-26
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content based retrieval Shape Image retrieval Color ordered weighted average (owa) Open wireless architecture Noise shaping fuzzy colour histogram Histograms Lighting fuzzy linking Joining processes Colored noise
Content Type	Text
Resource Type	Article

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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	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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