NDLI: Noisy Image Edge Detection Based on Multi-scale and Multi-structuring Element Order Morphology Transformation

Content Provider	IEEE Xplore Digital Library
Author	Xu, Yanlei Zhao, Jiyin Jiao, Yubin
Copyright Year	2008
Abstract	The image edge detection is important tool of image processing and also is the foundation of pattern recognition and computer vision, which will affect the later processes. To noisy image, the edge detection is more important for noise is so common in image. This paper deeply studies the edge detection methods of the noisy images and concentrates on the order morphology method. By analysis and study the theory of order morphology, this paper constructs three edge detection operations and analyzes the specialities of these operations and the structure elements. Based on this, the new edge detection operations for noisy image based on multi-scale and multi-structuring element order morphology are proposed. The operations can obtain clear and exact edge of the noisy images. By simulation and comparing with the traditional edge detection operations and the order morphology operations, the operations are more effective on noise restraining and retaining the image details.
Starting Page	379
Ending Page	383
File Size	573669
Page Count	5
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.154
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Image processing Nonlinear filters Order Morphology Gray-scale Educational institutions Agricultural engineering noisy image Morphology Detectors Signal processing Agriculture edge detection structuring Element
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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