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Enhancement of microscopy mineral images through constructing alternating operators using opening and closing based toggle operator

机译:通过使用基于打开和关闭的切换操作符构造交替操作符来增强显微矿物图像

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摘要

Enhancing microscopy mineral images to produce a clear image is important for mineral analysis. In this paper, an algorithm for mineral image enhancement through the constructed alternating operators using opening and closing based toggle operators is proposed. First, the alternating operators constructed using opening and closing based toggle operator and the procedure of feature extraction are discussed. Second, the mineral image features for enhancement are extracted through the entropy based weight strategy. Finally, the mineral image is enhanced utilizing the contrast enhancement method, by combining the extracted bright and dark mineral image features. Experimental results on mineral images obtained from different microscopes under different environments verified the effective performance of the proposed algorithm, and the performance was better than some existing algorithms. Therefore, the proposed algorithm may be effectively used for different microscopy mineral image based applications.
机译:增强显微镜下的矿物图像以产生清晰的图像对于矿物分析很重要。在本文中,提出了一种通过使用基于打开和关闭的切换算子构造的交替算子来增强矿物图像的算法。首先,讨论了使用基于打开和关闭的切换运算符构造的交替运算符以及特征提取的过程。其次,通过基于熵的权重策略提取用于增强的矿物图像特征。最后,通过结合提取的明暗矿物图像特征,利用对比度增强方法增强矿物图像。在不同环境下使用不同显微镜对矿物图像进行的实验结果证明了该算法的有效性,其性能优于现有算法。因此,所提出的算法可以有效地用于不同的基于显微矿物图像的应用。

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