Abstract
C-V method, an active contour model developed by Chan and Vese, has been successfully applied to solve the problem of object detection in gray-scale images. In this paper, a novel color C-V method which takes into account of color information and global property is presented. Choosing the appropriate color space for this model is also introduced. Finally, the applications of the proposed method to natural color images and microscopic halftone printing images are given and the experimental results show robust performance especially in case of weak edges and noisy inputs.
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© 2005 Springer-Verlag Berlin Heidelberg
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Chen, L., Zhou, Y., Wang, Y. (2005). A Novel Color C-V Method and Its Application. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_6
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DOI: https://doi.org/10.1007/11559573_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29069-8
Online ISBN: 978-3-540-31938-2
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