Localization performance measure and optimal edge detection

Hemant D. Tagare; Rui J. P. de Figueiredo

doi:10.1117/12.19530

1 June 1990 Localization performance measure and optimal edge detection

Hemant D. Tagare, Rui J. P. de Figueiredo

Proceedings Volume 1244, Image Processing Algorithms and Techniques; (1990) https://doi.org/10.1117/12.19530
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

Abstract

Recent developments in edge detection have exposed diiferent criteria to gauge the performance of edge detectors in the presense of noise. One of the criteria is "Localization", which is the ability of the edge detector to produce from noisy data a detected edge that is as close as possible to the true edge in the image. In this paper, we show the limitation of the localization criteria as previously formulated and propose an alternative. This new performance measure is based on the theory of zero-crossings of stochastic processes. We show that the derivative of a Gaussian is the optimal edge detector for this new measure.

Citation Download Citation

Hemant D. Tagare and Rui J. P. de Figueiredo "Localization performance measure and optimal edge detection", Proc. SPIE 1244, Image Processing Algorithms and Techniques, (1 June 1990); https://doi.org/10.1117/12.19530

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