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Efficient contour extraction in color images

  • Session F2A: Color Vision II
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1351))

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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Roland Chin Ting-Chuen Pong

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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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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63930-5

  • Online ISBN: 978-3-540-69669-8

  • eBook Packages: Springer Book Archive

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