Image enhancement method for building center operator by means of mathematical morphology top hat selection transformation
A mathematical morphology and central operator technology, applied in image enhancement, image data processing, calculation, etc., can solve problems such as difficult to obtain visual effect images, loss of image detail information, etc.
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[0061] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings. The flow chart of the present invention is as figure 1 Shown, the specific implementation steps of the present invention are as follows:
[0062] Step 1: Construct SAO based on bright and dark feature alternation operator by top-hat selection transformation 1 (f), SAO 2 The central operator SMC(f) and anticentral operator of (f)
[0063] Mathematical morphology has been widely used in the fields of image processing and pattern recognition (see literature: Zhen et al., Image Analysis and Mathematical Morphology, Academic Press, New York, 1982, (J.Serra, Image analysis and mathematical morphology, Academic Press, New York, 1982), Pierre et al., Morphological image analysis-principle and applications, Springer, Germany, 2003 (P.Soille, Morphological image analy...
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