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Methods of representation of the symmetric images in devices of recognition

机译:识别设备中对称图像的表示方法

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Among a variety of problems solved in the field of image processing, the problem of division of objects into classes and subclasses is considered to be the most essential. The algorithm of information processing is more effective in that case, when it provides compression or transformation of basic data with the purpose of definition of properties, indications, increase of selfdescriptiveness, whichare typical for the considered images. The initial data is contained in a brightness function f (x, y) of an image and in case of its processing, the new submission of the information about an image can be reached, which should be essential and the most simplified. At a stage of submission of the information it is necessary to note, that the new image supply should contain the essential key information, whichis extracted rather simple.
机译:在图像处理领域解决的各种问题中,将物体分成类和子类的问题被认为是最重要的。在这种情况下,信息处理算法在这种情况下更有效,当它提供基本数据的压缩或转换,目的是定义属性,指示,自我识别性的增加,所以被考虑的图像的典型。初始数据包含在图像的亮度函数f(x,y)中,并且在其处理的情况下,可以达到关于图像的信息的新提交,这应该是必不可少的,并且最简化。在提交信息的阶段,必须注意,新图像供应应包含必要的关键信息,其中提取相当简单。

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