The Development Of The Information-Logical Model Of Image Recognition By The Invariant Characteristics

Z. Htet, V. Koldaev
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引用次数: 1

Abstract

One of the problems of digital image processing is associated with the allocation of characteristic attributes for the compact representation and identification of images. Using the invariant features allows accomplishing the authentication and categorization of images in solving the problems of recognition, as well as the description of real scenes subjected to complex types of variability for their application in the problems identification of ground targets from the Board of unmanned flying vehicles. The paper gives the solution to the following problems: finding the invariant characteristics of images to change the scale and rotation; construction of a hierarchical system of invariants; computer simulation by using real and test images for the experimental study of the developed model of image description.
基于不变特征的图像识别信息逻辑模型的发展
数字图像处理中的一个问题是图像特征属性的分配,以实现图像的紧凑表示和识别。利用不变性特征可以完成对图像的认证和分类,解决识别问题,也可以描述受复杂变异性影响的真实场景,应用于无人飞行器板对地面目标的识别问题。本文主要解决以下问题:寻找图像的不变特征,改变图像的尺度和旋转;不变量的层次系统的构造利用真实图像和测试图像进行计算机仿真,对所建立的图像描述模型进行了实验研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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