实验结果表明，该算法的运算时间是改进的等均值等方差最近邻域搜索(IEENNS)算法的80%左右。

The experimental results show that the computing time for the new algorithm is 80% that of the improved equal-average equal-variance nearest-neighbor search (IEENNS) algorithm.

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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.

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二维模板增强能够利用的邻域像素点较多增强效果较好，但缺点是计算量大难以在运算速度较慢的嵌入式环境下使用。

Due to the more using of the neighborhood pixels, two-dimensional template can achieve more acceptable enhancement results. But drawback is more time consuming.

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