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Algorithm of Image Enhancement Based on Order Morphology Transformation

机译:基于顺序形态转换的图像增强算法

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A method based Tsallis entropy and order morphology transform for gray image enhancement is proposed in this article. The order morphology transform method improves the evaluation guide of transform, and chose the percentile value and structure B value by the maximum Tsallis entropy of the area where the coefficient q is 0.8, enhances the gray image. Experiments show that the method enhances the image contrast and suppressing noise and extracting edge. The histogram and gray value show that the image contrast is improved.
机译:本文提出了一种基于方法的TSAllis熵和顺序形态变换,用于灰色图像增强。顺序形态变换方法改善了变换的评估指南,并通过系数Q为0.8的区域的最大TSAllis熵选择百分位值和结构B值,增强了灰度图像。实验表明,该方法增强了图像对比度和抑制噪声和提取边缘。直方图和灰度值表明图像对比度得到改善。

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