考虑顺序的图像处理中一种有效的波动测量方法

T. Khan
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引用次数: 0

摘要

标准偏差可以衡量一组数字的扩散,熵可以衡量随机性。然而,他们不考虑数字的顺序。在数字的顺序至关重要的情况下,这可能会导致误导性的结果。图像是一组对顺序敏感的数字(即像素值)。本文提出了一种考虑数列顺序的测量波动的有效方法。该方法总结了连续数字的变化,可用于图像处理应用。仿真结果表明,该方法的速度是其他相关方法的8 ~ 33倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Fluctuation Measurement Method in Image Processing Considering Order
The standard deviation can measure the spread out of a set of numbers and entropy can measure the randomness. However, they do not consider the order of the numbers. This can lead to misleading results where the order of the numbers is vital. An image is a set of numbers (i.e. pixel values) that is sensitive to order. In this paper, an efficient method for measuring the fluctuation is proposed considering the order of the numbers. The proposed method sums up the changes of consecutive numbers and can be used in image processing applications. Simulation shows that the proposed method is 8 to 33 times faster than other related works.
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