Abstract
Mathematical morphology has been shown to be useful for the processing and analysis of binary and grayscale images (Serra, 1982; Haralick, Sternberg and Zhuang, 1987). Morphology has been used to perform noise suppression, texture analysis, shape analysis, edge detection, skeletonization, and multiscale filtering for applications such as medical imaging, geological image processing, automated industrial inspection, image compression, and ECG signal analysis (Serra, 1982; Maragos, 1990; Schonfeld and Goutsias, 1991; Overturf, Comer and Delp, 1995; Chu and Delp, 1989). This chapter describes the extension of mathematical morphology to colour images.
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© 1998 Springer Science+Business Media Dordrecht
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Comer, M.L., Delp, E.J. (1998). Morphological operations. In: Sangwine, S.J., Horne, R.E.N. (eds) The Colour Image Processing Handbook. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5779-1_11
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DOI: https://doi.org/10.1007/978-1-4615-5779-1_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7647-7
Online ISBN: 978-1-4615-5779-1
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