提出自适应邻域灰阶扩展直方图均衡法的快速算法，大大减小运算量，使其在临床上的应用成为可能。
Fast algorithm for adaptive neighborhood gray-scale stretch histogram equalization method is proposed which can reduce operand greatly.
该方法明显优于经典的同态增晰法和直方图均衡化。
The method is better than traditional homomorphic filtering and histogram equalization.
并且通过与直方图均衡化法以及中值滤波法的对比可以很明确的表明，本文的方法相较于上述两种方法更优，提取的效果更好。
And the method with histogram equalization and median filtering method of comparison can be very clear that the present method than the above two methods better and better extraction.
并且通过与直方图均衡化法以及中值滤波法的对比可以很明确的表明，本文的方法相较于上述两种方法更优，提取的效果更好。
And the method with histogram equalization and median filtering method of comparison can be very clear that the present method than the above two methods better and better extraction.
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