Image Analysis Using a New Definition of Mathematical Morphology for Binary Image
نویسنده
چکیده
What the algebra of convolution does for linear systems, the algebra of mathematical morphology does for shape. Since shape is a prime carrier of information in machine vision, there should be little surprise about the importance of the mathematical morphology. Now adays the operations of mathematical morphology are very much useful in object or defect identification required in industrial vision applications and target detection useful to military applications. A new definition for binary morphology covering the operation of dilation, erosion, opening and closing and their relations are presented in this paper. Examples are presented for each morphological operation.
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