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ITHEA Classification Structure > I. Computing Methodologies  > I.3 COMPUTER GRAPHICS  > I.3.5 Computational Geometry and Object Modeling 
ITHEA Classification Structure > I. Computing Methodologies  > I.5 PATTERN RECOGNITION  > I.5.1 Models 
АППРОКСИМАЦИЯ ФУНКЦИИ ЯРКОСТИ ОБЪЕКТА ПОЛУТОНОВОГО ИЗОБРАЖЕНИЯ
By: Калмыков et al. (2728 reads)
Rating: (1.00/10)

Abstract The method, to encode the gray-scale image objects, is proposed, using canonical splines within the gray-scale image structural model. While the brightness values of object pixels are determined inside its contour, the approximation function is determined and built within rectangle which the object is circumscribed. Examples of the image encoding, initially set in a raster kind, are made.

Keywords: полутоновое изображение, контур, канонический сплайн.

ACM Classification Keywords: I.5.1 Models, I.3.5 Computational Geometry and Object Modeling.

Link:

АППРОКСИМАЦИЯ ФУНКЦИИ ЯРКОСТИ ОБЪЕКТА ПОЛУТОНОВОГО ИЗОБРАЖЕНИЯ

Владимир Калмыков, Виталий Вишневский, Татьяна Романенко, Татьяна Власова

http://www.foibg.com/ijitk/ijitk-vol06/ijitk06-1-p06.pdf

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I.3.5 Computational Geometry and Object Modeling
article: АППРОКСИМАЦИЯ ФУНКЦИИ ЯРКОСТИ ОБЪЕКТА ПОЛУТОНОВОГО ИЗОБРАЖЕНИЯ · GEOMETRICAL TOOLS FOR ALPHA-VORONOI PARTITIONS · МЕТОДЫ И АЛГОРИТМЫ ОБНАРУЖЕНИЯ ОБЪЕКТОВ ДЛ� · MATHEMATICAL MODEL OF THE CLOUD FOR RAY TRACING ·
I.5.1 Models
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