Morphological Granulometries for Color Images
نویسندگان
چکیده
In this paper a new morphological technique for size and shape analysis of color granular images is presented. The method is based on the sieving model reported by Matheron. According to this model, granular images can be characterised by means of the manner in which they are sieved through various size and shape sieves. The morphological operations that are used in this analysis are defined by means of a new ordering of vectors (colors) of the HSV color space. Minimum and maximum operators are defined, and the fundamental morphological operations are extracted. The proposed method was tested with a variety of images and such experimental results are provided.
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