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Image Recognition by Affine Tchebichef Moment Invariants

机译:仿射Tchebichef矩不变量的图像识别

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摘要

Tchebichef moments are successfully used in the field of image analysis because of their polynomial properties of discrete and orthogonal. In this paper, two new affine invariant sets are introduced for object recognition using discrete orthogonal Tchebichef moments. The current study constructs affine Tchebichef invariants by normalization method. Firstly, image is normalized to a standard form using Tchebichef moments as normalization constraints. Then, the affine invariants can be obtained at the standard form. The experimental results are presented to illustrate the performance of the invariants for affine deformed images.
机译:Tchebichef矩因其离散和正交的多项式特性而成功用于图像分析领域。在本文中,引入了两个新的仿射不变集,用于使用离散正交Tchebichef矩进行物体识别。当前的研究通过归一化方法构造仿射Tchebichef不变量。首先,使用Tchebichef矩作为归一化约束将图像归一化为标准形式。然后,可以以标准形式获得仿射不变式。给出实验结果以说明对于仿射变形图像的不变量的性能。

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