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Description and Recognition of Symmetrical and Freely Oriented Images Based on Parallel Shift Technology

机译:基于并行移位技术的对称自由取向图像的描述与识别

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摘要

The method of description and recognition of images based on the technology of parallel shift is described. The parallel shift technology allows to form only one characteristic for describing of images. This feature is the area of the image, which is determined by the number of cells belonging to the image. The main characteristics of the complex image area are described. The problem of using parallel shift technology is the inability to recognize symmetrical images and images with free orientation. In accordance with the problem in the paper a method is described that allows to recognize the orientation of the image, as well as recognize symmetrical images that have the same functions of area of intersection. To solve the problem, additional elements are introduced on one of the edges of the image, which in a small amount distinguish it from the original image, and additional quantitative characteristics of the area are introduced. The additional elements are introduced only on one of the edges of the image for all images at the system input. For each rotated and symmetrical image with equal functions, the intersection areas a new intersection functions are defined. Differences in the functions of the areas of intersection of both images are determined and on the based on the obtained quantitative characteristics of the function of the area of intersection of the images the shape of the image are determined. To form the intersection function of the areas of the modified image, the number of shifts is increased by one, and also the function change occurs at each step in accordance with the introduced additional elements. The conducted research showed high reliability of image recognition.
机译:描述了基于并行移位技术的图像描述和识别方法。并行移位技术仅允许形成一个用于描述图像的特征。此功能是图像的区域,该区域由属于该图像的单元格数量确定。描述了复杂图像区域的主要特征。使用平行移位技术的问题是不能识别对称图像和具有自由取向的图像。根据本文中的问题,描述了一种方法,该方法允许识别图像的方向以及识别具有相同交叉区域功能的对称图像。为了解决该问题,在图像的边缘之一上引入了其他元素,这些元素在少量程度上与原始图像有所区别,并引入了该区域的其他定量特征。对于系统输入处的所有图像,仅在图像的边缘之一上引入附加元素。对于具有相等功能的每个旋转且对称的图像,相交区域定义了新的相交函数。确定两个图像的交叉区域的功能上的差异,并基于所获得的图像的交叉区域的功能的定量特征,确定图像的形状。为了形成修改图像的区域的相交函数,将移位的数量增加一个,并且根据所引入的附加元素,在每个步骤处也会发生函数改变。进行的研究表明图像识别具有很高的可靠性。

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