Adaptive approach to edge detection

Ramakrishnan Sundaram; Okan K. Ersoy; David Hansen

doi:10.1117/12.212895

1 November 1995 Adaptive approach to edge detection

Ramakrishnan Sundaram, Okan K. Ersoy, David Hansen

Author Affiliations +

Optical Engineering, Vol. 34, Issue 11, (November 1995). https://doi.org/10.1117/12.212895

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.

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Ramakrishnan Sundaram, Okan K. Ersoy, and David Hansen "Adaptive approach to edge detection," Optical Engineering 34(11), (1 November 1995). https://doi.org/10.1117/12.212895

Published: 1 November 1995

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