E$cient facet edge detection and quantitative performance evaluation
نویسندگان
چکیده
In this paper, we "rst introduce a recursive procedure for e$ciently computing cubic facet parameters for edge detection. The procedure allows to compute facet parameters in a "xed number of operations independent of kernel size. We then introduce an image independent quantitative criterion for analytically evaluating di!erent edge detectors (both gradient and zero-crossing based methods) without the need of ground-truth information. Our criterion is based on our observation that all edge detectors make a decision of whether a pixel is an edgel or not based on the result of convolution of the image with a kernel. The variance of the convolution output therefore directly a!ects the performance of an edge detector. We propose to analytically compute the variance of the convolution output and use it as a measure to characterize the performance of four well-known edge detectors. 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
منابع مشابه
Efficient facet edge detection and quantitative performance evaluation
In this paper, we "rst introduce a recursive procedure for e$ciently computing cubic facet parameters for edge detection. The procedure allows to compute facet parameters in a "xed number of operations independent of kernel size. We then introduce an image independent quantitative criterion for analytically evaluating di!erent edge detectors (both gradient and zero-crossing based methods) witho...
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تاریخ انتشار 2011