Research the possibilities of different filters and their application to image recognition problems

Публікація:
Research the possibilities of different filters and their application to image recognition problems

dc.contributor.author	Brytik, V. I.
dc.contributor.author	Grebinnik, O.
dc.contributor.author	Kobziev, V.
dc.date.accessioned	2018-03-29T13:18:54Z
dc.date.available	2018-03-29T13:18:54Z
dc.date.issued	2016
dc.description.abstract	This article is devoted to the analysis from the viewpoint of accuracy allocation of contour points, and maintaining information about the distribution of non-derivative elements. In this article is researched the edge enhancement algorithms such as Prewitt, Sobel, Laplacian, Kirsch and evaluated their work, using some well-known performance measures. Also compared the efficacy of the researched algorithms, which was determined on the selected images with superimposed noise	uk_UA
dc.identifier.citation	Brytik V. Research the possibilities of different filters and their application to image recognition problems / V. Brytik, O. Grebinnik, V. Kobziev // Econtechmod. An international quarterly journal on economics in technology,new technologies and modelling processes – 2016. – Vol. 5, № 4 – P. 21–27.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/4455
dc.language.iso	en	uk_UA
dc.publisher	LUBLIN–RZESZOW	uk_UA
dc.subject	image analysis	uk_UA
dc.subject	contour points	uk_UA
dc.subject	filter	uk_UA
dc.subject	convolution mask	uk_UA
dc.title	Research the possibilities of different filters and their application to image recognition problems	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication