Edge detection based on wavelet-domain spatial correlation thresholding

Paul Bao; Lei Zhang

doi:10.1117/12.454178

28 January 2002 Edge detection based on wavelet-domain spatial correlation thresholding

Paul Bao, Lei Zhang

Proceedings Volume 4541, Image and Signal Processing for Remote Sensing VII; (2002) https://doi.org/10.1117/12.454178
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

This paper proposes a scale correlation-based edge detection scheme. A scale correlation function is defined as the product of detection filter's response at two scales. With the proper choice of detection filters such as the first derivative of Gaussian, the scale correlation will magnify the edge structures and suppress the noise. Unlike many of the multiscale techniques that first form the edge maps at several scales and then synthesize them together, in our scheme, edges are determined as the local maxima directly in the correlation function. The detection and localization criteria of the scale correlation are defined. It is shown that with little loss in detection criterion, much improvement is gained on localization criterion. Using scale correlation, the dislocation of neighboring edges is also improved when the width of detection filter is set large to smooth noise.

Citation Download Citation

Paul Bao and Lei Zhang "Edge detection based on wavelet-domain spatial correlation thresholding", Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); https://doi.org/10.1117/12.454178

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KEYWORDS

Edge detection

Correlation function

Aluminum

Signal to noise ratio

Filtering (signal processing)

Sensors

Gaussian filters

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