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New Quantum Inspired Tabu Search for Multi-level Colour Image thresholding

机译：新的量子启发式禁忌搜索，用于多级彩色图像阈值处理

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In this article, a Quantum Inspired Tabu Search for Multi-level thresholding for Colour Image has been developed to boost the possible effectiveness than that of its classical counterpart. The proposed algorithm has been applied to two true colour images to determine optimal threshold values at different levels using Otsu's method as an objective function. The features of quantum mechanics are coupled with the basic constitution of a popular meta-heuristic algorithm, called tabu search to form the quantum inspired meta-heuristic algorithm. Between the participating algorithms, the proposed algorithm takes least time for execution. The usefulness of the proposed method is established in context of exactitude, resilience and computational time over its respective conventional method. In addition, a popular test, called one-tailed t-test, used for statistical measurement, demonstrates the efficiency of the proposed algorithm.
机译：在本文中，开发了针对彩色图像多级阈值的量子启发式禁忌搜索，以提高其有效性。所提出的算法已被应用到两个真实彩色图像上，以Otsu方法为目标函数来确定不同级别的最佳阈值。量子力学的特征与流行的元启发式算法（称为禁忌搜索）的基本构成相结合，从而形成了量子启发式元启发式算法。在参与算法之间，所提出的算法花费最少的时间来执行。相对于其各自的常规方法，在准确性，弹性和计算时间的背景下确定了所提出方法的有用性。此外，一种用于统计测量的流行测试（称为单尾t检验）证明了所提出算法的效率。

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