NDLI: Dominant Texture Descriptors for image classification and retrieval

Content Provider	IEEE Xplore Digital Library
Author	Fadeev, A. Frigui, H.
Copyright Year	2008
Description	Author affiliation: CECS Dept., Univ. of Louisville, Louisville, KY (Fadeev, A.; Frigui, H.)
Abstract	In this paper, we propose a generic approach for representing image texture features in a compact and intuitive way. Our approach, called Dominant Texture Descriptor (DTD), is inspired by the dominant color descriptor. It is based on clustering the local texture features and identifying the dominant components and their spatial distribution. We also present an enhanced version of the DTD (eDTD) that encodes the spatial distribution of the pixels within each dominant component. We illustrate this approach for the case of two well-known descriptors, namely, the MPEG-7 Edge Histogram, and Ga- bor texture. The performance of the proposed texture feature representation is illustrated by using it to classify a collection of 900 color images. Experimental results are compared with those obtained using the traditional approaches. We show that our representation is more compact, interpretable, and could improve classification results by 10%-20%, especially for images with non-homogeneous texture.
Starting Page	989
Ending Page	992
File Size	472761
Page Count	4
File Format	PDF
ISBN	9781424417650
ISSN	15224880
DOI	10.1109/ICIP.2008.4711923
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image classification Image retrieval Image edge detection Histograms MPEG 7 Standard Gabor filters Detectors Image texture Content based retrieval Pixel MPEG-7 texture features structure features dominant descriptors
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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