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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/28136
Title: Texture image segmentation based on classification of contour elements and logical addition of classes
Authors: Alzakki, H. M.
Tsviatkou, V. Yu.
Keywords: публикации ученых
texture image segmentation
classification contour elements
Issue Date: 2016
Publisher: IEEE, USA
Citation: Alzakki. H. M. Texture image segmentation based on classification of contour elements and logical addition of classes / H. M. Alzakki, V. Yu. Tsviatkou // Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) (IEEE Conference Publications), 9-10 May. – 2016. – 6 pp.
Abstract: A method for texture segmentation of images based on classification of contour elements and logical addition of classes. The essence of the method consists in the contouring of the original image, determining the position of the image of contour elements of different types (points, lines, and shapes) converting closely spaced similar contour elements into binary areal objects, binary coding mutual position obtained polygon objects within the boundaries of the original image segmentation resulting code matrix.
URI: https://libeldoc.bsuir.by/handle/123456789/28136
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