NDLI: Self-organization neural network for multiple texture image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Woobeom Lee Wookhyun Kim
Copyright Year	1999
Description	Author affiliation: Dept. of Comput. Eng., Yeungnam Univ., Kyungpook, South Korea (Woobeom Lee)
Abstract	Texture analysis is an important technique in many image processing areas, such as scene segmentation, object recognition, and shape and depth perception. But no efficient methods captures all aspects of the very diverse texture family including natural scenes. We propose a novel approach for efficient texture image analysis that use unsupervised learning schemes for the texture recognition task. The self-organization neural network for texture image identification is based on features that is extracted at angle and magnitude in the orientation-field that might be different from the sample textures. In order to show the performance of the proposed system, we have attempted to build various texture images. The experimental results show that the performance of the system is very successful.
Starting Page	730
Ending Page	733
File Size	651457
Page Count	4
File Format	PDF
ISBN	0780357396
DOI	10.1109/TENCON.1999.818518
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-15
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Image texture analysis Layout Image analysis Image processing Image segmentation Object recognition Shape Unsupervised learning Image recognition
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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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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