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A Complete Set of Pseudo-Zernike Moment Invariants by Image Shape Description

机译:通过图像形状描述一套完整的伪Zernike时刻不变

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Orthogonal moments such as pseudo-Zernike moments have been successfully used in the field of image analysis. Conventionally, image function is mapped onto a set of orthogonal functions over the unit circle. If the origin of polar coordinate system is taken at the centroid, the rotation invariants will be easy to obtain. Based on pseudo-Zernike moments, this paper presents a new method to drive the complete rotation, scaling and translation (RST) invariants from the orthogonal projection transform (OPT). The efficiency and the robustness to different noises of the method for classification tasks are presented by comparing it with several existing methods.
机译:诸如伪Zernike矩的正交矩已成功地在图像分析领域中使用。传统上,图像函数映射到单元圆上的一组正交功能上。如果极性坐标系的起源是在质心上拍摄的,则旋转不变量将容易获得。基于伪Zernike的矩,本文提出了一种从正交投影变换(OPT)的完全旋转,缩放和翻译(RST)不变的新方法。通过将其与若干现有方法进行比较,提出了对分类任务方法的不同噪声的效率和鲁棒性。

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