The methods for Contour Analysis of Images

This paper reflects an analysis of contour analysis methods. Their efficiency and computational costs are analysed. The Laplace operator is highlighted. This method is faster and has a lower computational cost. At the same time, the results are not much worse than from other methods.

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Bibliographic Details
Published in:	2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT) Vol. 2; pp. 41 - 45
Main Authors:	Shamuratov, Oleksii, Ryshkovets, Yuriy, Shakhovska, Nataliya, Kohut, Ihor
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2019
Subjects:	Artificial intelligence Brightness Conferences contour analysis Filtering Kirsch operator Laplace equations Prewitt operator Schedules Sobel operator Text recognition
Online Access:	Get full text
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Description
Summary:	This paper reflects an analysis of contour analysis methods. Their efficiency and computational costs are analysed. The Laplace operator is highlighted. This method is faster and has a lower computational cost. At the same time, the results are not much worse than from other methods.
ISBN:	1728108063 9781728108063
DOI:	10.1109/STC-CSIT.2019.8929857