Texture image segmentation based on geometric classification and assessment density of contour elements
Abstract
A method of texture image segmentation based on geometric classification and assessment density of contour elements. The proposed method in comparison with the method based on energy maps, providing a reduction in the error of localization of textural regions by taking into account the geometric characteristics of the elements.
About the Authors
H. M. Alzakki
Belarusian state university of informatics and radioelectronics
Belarus
Belarus
V. Yu. Tsviatkou
Belarusian state university of informatics and radioelectronics
Belarus
Belarus
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Review
For citations:
Alzakki H.M., Tsviatkou V.Yu. Texture image segmentation based on geometric classification and assessment density of contour elements. Doklady BGUIR. 2017;(3):93-99. (In Russ.)
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