Abstract
Processing of colour image data has received increased attention lately due to the introduction of the various vector processing filters. These ranked-order type filters utilize the direction or the magnitude of the colour vectors (that is, pixel values within colour space) to enhance, restore and segment colour images. The objective of this chapter is to present and analyze the different vector processing filters. In addition to ranked-order filters, fuzzy, as well as nearest-neighbour vector filters are discussed in detail. Comparative studies involving colour images are used to assess the performance of the different vector processing filters. Results indicate that the adaptive vector processing designs reported here are computationally attractive and have excellent performance.
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© 1998 Springer Science+Business Media Dordrecht
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Plataniotis, K.N., Venetsanopoulos, A.N. (1998). Vector filtering. 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_10
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DOI: https://doi.org/10.1007/978-1-4615-5779-1_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7647-7
Online ISBN: 978-1-4615-5779-1
eBook Packages: Springer Book Archive