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BILATERAL EDGE DETECTORS

Jose, Abin and Seelamantula, Chandra Sekhar (2013) BILATERAL EDGE DETECTORS. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), MAY 26-31, 2013, Vancouver, CANADA, pp. 1449-1453.

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Official URL: http://dx.doi.org/10.1109/ICASSP.2013.6637891

Abstract

We propose to employ bilateral filters to solve the problem of edge detection. The proposed methodology presents an efficient and noise robust method for detecting edges. Classical bilateral filters smooth images without distorting edges. In this paper, we modify the bilateral filter to perform edge detection, which is the opposite of bilateral smoothing. The Gaussian domain kernel of the bilateral filter is replaced with an edge detection mask, and Gaussian range kernel is replaced with an inverted Gaussian kernel. The modified range kernel serves to emphasize dissimilar regions. The resulting approach effectively adapts the detection mask according as the pixel intensity differences. The results of the proposed algorithm are compared with those of standard edge detection masks. Comparisons of the bilateral edge detector with Canny edge detection algorithm, both after non-maximal suppression, are also provided. The results of our technique are observed to be better and noise-robust than those offered by methods employing masks alone, and are also comparable to the results from Canny edge detector, outperforming it in certain cases.

Item Type: Conference Proceedings
Additional Information: Copyright for this article belongs to the IEEE, USA
Keywords: Bilateral filters; edge detection; domain kernel; range kernel; edge detection masks
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 04 Mar 2014 11:35
Last Modified: 04 Mar 2014 11:35
URI: http://eprints.iisc.ac.in/id/eprint/48483

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