Traditional image enhancement is to define corresponding gray transform function according to gray distribution of the image.
传统的图像增强处理是针对图像灰度分布的不同情况，来定义相应的灰度变换函数。
Aiming at segmented linear gray transform, selecting the fit segment points and the fit enhancement parameters by an interactive means is realized.
针对分段线性灰度增强，本文实现了通过人机交互的方式来选取恰当的分段点和增强参数。
In view of the above, this paper USES selective masking smoothing to remove noise and linear gray transform method to solve the problem of gray uneven.
鉴于以上情况，本文选用了选择式掩模滤波对噪声进行去除，用线性灰度变换方法解决了灰度不均匀的问题。
Contrast type of original image is determined by a new criterion. Gray transform parameters are directly obtained by the new criterion. Global enhancement is implemented to the original image.
对原始图像用所提出的判据判断图像的对比度类型，针对不同类型直接确定灰度变换参数，实现图像全局对比度增强。
Contrast type of original image is determined by a new criterion. Gray transform parameters are directly obtained by the new criterion. Global enhancement is implemented to the original image.
对原始图像用所提出的判据判断图像的对比度类型，针对不同类型直接确定灰度变换参数，实现图像全局对比度增强。
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