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Current Trends in Mathematical Image Analysis A Survey

机译:数学图像分析的当前趋势调查

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The main task of the survey is to explain and discuss the opportunities and limitations of algebraic approaches in image analysis. During recent years there was accepted that algebraic techniques, in particular different kinds of image algebras, is the most prospective direction of construction of the mathematical theory of image analysis and of development an universal algebraic language for representing image analysis transforms and image models. The main goal of the Algebraic Approach is designing of a unified scheme for representation of objects under recognition and its transforms in the form of certain algebraic structures. It makes possible to develop corresponding regular structures ready for analysis by algebraic, geometrical and topological techniques. Development of this line of image analysis and pattern recognition is of crucial importance for automatic image-mining and application problems solving, in particular for diversification classes and types of solvable problems and for essential increasing of solution efficiency and quality.
机译:调查的主要任务是解释和讨论代数方法在图像分析中的机会和局限性。在近年来,接受代数技术,特别是不同种类的图像代数,是建设数学分析数学理论的最前景方向,并且开发用于代表图像分析变换和图像模型的通用代数语言。代数方法的主要目的是设计用于在识别下的物体及其某些代数结构形式的转变的统一方案。它可以通过代数,几何和拓扑技术开发相应的常规结构。这种图像分析和模式识别的发展对于自动图像挖掘和应用问题来说至关重要,特别是用于多样化类别和可解决问题的类型,以及用于提高解决方案效率和质量的基本增加。

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