Abstract

An approach to building a multichannel pattern-recognition system by sensing systems is proposed. A list of problems solved by the sensing systems in the construction of object-recognition systems is specified. The problem of image preprocessing is formulated in the form of an ill-posed problem. The value of the fractal dimension D (the fractal signature) of images of contours of objects is used to create an additional characteristic. The methods for solving the problems of building modern object-recognition systems are evaluated.

中文翻译：

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基于神经网络和分形特征的多通道传感系统目标识别系统

摘要

提出了一种通过传感系统构建多通道模式识别系统的方法。列出了在物体识别系统的构造中由传感系统解决的问题的清单。图像预处理问题以不适定问题的形式提出。对象轮廓图像的分形维数D（分形特征）的值用于创建附加特征。评估了解决建立现代对象识别系统问题的方法。