Abstract
An extension of second-order differential edge detection methods to color images was previously proposed. This work shows how, by casting the problem into a subpixel resolution oriented framework, an efficient algorithm for edge detection and contour traversal can be devised for both graylevel and color images. The results from an implementation on a standard PC show that the computational cost is largely dominated by convolution-type operations, whose impact can be substantially reduced by using specialized image processing devices.
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© 1997 Springer-Verlag Berlin Heidelberg
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Cumani, A. (1997). Efficient contour extraction in color images. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_170
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DOI: https://doi.org/10.1007/3-540-63930-6_170
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Online ISBN: 978-3-540-69669-8
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