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Title: Classification of point forms and establish a library for coding the skeleton of the binary images
Authors: Xunhuan, Ren
Konopelko, V. K.
Keywords: материалы конференций;pattern recognition;square matrix;transposed group;classifying points
Issue Date: 2019
Publisher: БГУИР
Citation: Xunhuan, Ren. Classification of point forms and establish a library for coding the skeleton of the binary images / Ren Xunhuan, V. K. Konopelko // Телекоммуникации: сети и технологии, алгебраическое кодирование и безопасность данных = Telecommunications: Networks and Technologies, Algebraic Coding and Data Security : материалы международного научно-технического семинара, Минск, ноябрь-декабрь 2019 г. / Белорусский государственный университет информатики и радиоэлектроники; ред. Бобов М. Н. [и др.]. – Минск : БГУИР, 2019. – С. 11–17.
Abstract: In this paper, the methods for classifying points which are allowed to determining the types of two-dimensional vectors and can be used to code the skeleton of the binary image were analyzed. On the basis of , our research focused on the matrix which is t by t, in which there are only t elements are one. These elements can be called as point (pixel). An improved algorithm for classifying points is proposed. The result of the preprocessing point is a compressed library of point patterns.
Appears in Collections:Телекоммуникации 2019

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