NDLI: Unsupervised texture segmentation applied to natural images containing man-made objects

Content Provider	IEEE Xplore Digital Library
Author	Xiaoyan Dai Maeda, J.
Copyright Year	2001
Description	Author affiliation: Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Japan (Xiaoyan Dai)
Abstract	This paper presents a region-based unsupervised segmentation for natural images containing man-made objects. We propose a texture feature extraction to obtain more discriminating features. Statistical Geometrical Features (SGF) are used as texture features. The SGF of the original image and the smoothed image obtained from an anisotropic edge-preserving diffusion are combined for segmentation use. We also propose a modified segmentation algorithm which performs segmentation in four stages: hierarchical splitting, local agglomerative merging, global agglomerative merging and pixelwise classification. Local agglomerative merging combines segments locally, which will greatly reduce the time cost. We make some experiments to demonstrate the effectiveness of the proposed technique in the segmentation of natural images containing man-made objects. The reduction of computation time is also provided.
Starting Page	406
Ending Page	410
File Size	192654
Page Count	5
File Format	PDF
ISBN	0769513123
DOI	10.1109/ICCIMA.2001.970503
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-30
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation
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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