Abstract
Segmentation and edge detection are key points in image analysis. Mathematical morphology employs the watershed transform to obtain the edges of the objects in an image. Usually, the watershed is significantly influenced by the morphological gradient. Furthermore, the direct segmentation of the gradient by the watershed transform results in an extreme oversegmentation. In this paper, we propose a morphological approach to compute the multiscale gradient applied to color images. The main property of this technique, established on color morphology, is that it does not split the color channels in contrast to other methods in the literature. The experiments have shown that the suggested technique enhances the segmentation results generating more precise watershed lines.
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© 2002 Kluwer Academic/Plenum Publishers
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D’Ornellas, M.C., van Den Boomgaard, R. (2002). A Morphological Multi-Scale Gradient for Color Image Segmentation. In: Goutsias, J., Vincent, L., Bloomberg, D.S. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 18. Springer, Boston, MA. https://doi.org/10.1007/0-306-47025-X_22
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DOI: https://doi.org/10.1007/0-306-47025-X_22
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-7923-7862-4
Online ISBN: 978-0-306-47025-7
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