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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/51310
Title: Image Representations in Image Analysis
Authors: Gurevich, I.
Yashina, V.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2009
Publisher: Минск: БГУ
Abstract: At present, in terms of development of image analysis and recognition, it is critical to understand the nature of the initial information, viz. images, find methods of image representation and description to be used to construct image models designed for recognition problems, establish the mathematical language for the unified description of image models and their transformations that allow constructing image models and solving recognition problems, construct models to solve recognition problems in the form of standard algorithmic schemes that allow, in the general case, moving from the initial image to its model and from the model to the sought solution. The descriptive approach to image analysis (DAIA) gives a single conceptual structure that helps develop and implement these models and the mathematical language. A system of concepts characterizing initial data (i.e., images) in image recognition problems is described. This system underlies the formal definition of methods for synthesizing image models and descriptive image models intended for image recognition and analysis.
URI: http://elib.bsu.by/handle/123456789/51310
Appears in Collections:2009. Труды 10-й Международной Конференции "Распознавание образов и обработка информации"

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