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Proceedings Paper

A new edge detection algorithm in image processing based on LIP-ratio approach
Author(s): Sos Agaian; Ali Almuntashri
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Paper Abstract

In this paper, we propose a new edge detection method that combines the concepts of Logarithmic Image Processing (LIP) and gray level ratio operations. The presented method provides a new approach in edge detection where edges are detected at different ratios of gray levels independently. The proposed method detects edge details based on the band of gray levels ratio of interest that these details lie within, while current edge detection algorithms control such edge details by threshold variations. In the proposed algorithm, variations of some introduced constant value introduce different edge details and not necessarily more or less details. Extensive simulations demonstrate that this method produces competitive results by suppressing impulsive noise, the ability to trace the development of certain object structures, and segmenting objects that belong to a certain area of interest.

Paper Details

Date Published: 8 February 2010
PDF: 12 pages
Proc. SPIE 7532, Image Processing: Algorithms and Systems VIII, 753204 (8 February 2010); doi: 10.1117/12.838725
Show Author Affiliations
Sos Agaian, The Univ. of Texas at San Antonio (United States)
Ali Almuntashri, The Univ. of Texas at San Antonio (United States)


Published in SPIE Proceedings Vol. 7532:
Image Processing: Algorithms and Systems VIII
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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