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Optical Engineering

Adaptive approach to edge detection
Author(s): Ramakrishnan Sundaram; Okan K. Ersoy; David Hansen
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Paper Abstract

An adaptive approach to edge detection using the transform domain and bandpass filtering is discussed. The method is also extended to 3-D and shown to yield better edge maps. The discrete symmetric cosine transform (DSCT) is shown to be the best transform for accurate edge detection. The theory is first discussed in 1-D. Then, the adaptive algorithm utilizing both the gradient and the Laplacian information is developed in 2-D and 3-D. Computer simulations with regular scenes and magnetic resonance imaging images are provided. The extension of the method to 3-D leads to improved noise immunity and better edge contours.

Paper Details

Date Published: 1 November 1995
PDF: 6 pages
Opt. Eng. 34(11) doi: 10.1117/12.212895
Published in: Optical Engineering Volume 34, Issue 11
Show Author Affiliations
Ramakrishnan Sundaram, Purdue Univ. (United States)
Okan K. Ersoy, Purdue Univ. (United States)
David Hansen, Purdue Univ. (United States)


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