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Image Analysis Using Mathematical Morphology

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3 Author(s)
Haralick, R.M. ; Department of Electrical Engineering, University of Washington, Seattle, WA 98195. ; Sternberg, Stanley R. ; Zhuang, Xinhua

For the purposes of object or defect identification required in industrial vision applications, the operations of mathematical morphology are more useful than the convolution operations employed in signal processing because the morphological operators relate directly to shape. The tutorial provided in this paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations. Examples are given for each morphological concept and explanations are given for many of their interrelationships.

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-9 ,  Issue: 4 )