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A novel unified method for the fast computation of discrete image moments on grayscale images

机译:一种新的统一方法,用于快速计算灰度图像上的离散图像矩

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摘要

We proposed a new method to compute the discrete image moments in this paper. By simple mathematical deduction, the discrete image moments can be transformed into first-order moments. Therefore, the fast algorithm for first-order moments' calculation can be used to compute discrete image moments. We also design an efficient computation structure based on systolic array to implement this approach. Since our method does not use the moment kernel polynomials' properties in the calculation process, the proposed method can be used to compute any discrete image moments in the same way. The presented algorithm has several advantages such as regular and simple computation structure, without multiplication, independent of the image's intensity distribution, applicable to any discrete moment family. Various experiments demonstrate the effectiveness of the proposed algorithm in comparison with some state-of-the-art methods.
机译:我们提出了一种新方法来计算本文中的离散图像时刻。通过简单的数学扣除,离散图像时刻可以转换为一阶矩。因此,用于一阶时刻计算的快速算法可用于计算离散图像时刻。我们还基于收缩系统阵列设计了一个有效的计算结构来实现这种方法。由于我们的方法在计算过程中不使用时刻内核多项式的属性,因此可以使用该方法以相同的方式计算任何离散图像矩。所提出的算法具有若干优点,例如常规和简单的计算结构,而无需乘法,无关,与图像的强度分布无关,适用于任何离散的力矩家庭。各种实验证明了与某些最先进的方法相比之下的算法的有效性。

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