针对形态边缘减宽增强算法的不足，提出了一种自适应模糊边缘减宽增强算法。它对非边缘区采用局部均值滤波来抑制噪声；对于边缘区域，根据梯度方向及当前点在斜坡边缘的位置，自适应的采用边缘方向均值、边缘梯度方向的高灰度均值和低灰度均值来代替当前像素灰度值，从而缩短斜坡边缘的宽度来达到增强图像边缘的目的。采用模糊策略决策，推理合成得到增强结果，在增强的同时，抑制噪声。实验结果表明，该算法能有效地增强边缘并平滑噪声,明显地改善视觉效果。

The shortcoming of morphological edge enhancement algorithm has been discussed. Based on that, an adaptive edge width reduction enhancement fuzzy algorithm is presented. It uses local gray mean filter to smooth noise in the non-edge areas. In edge areas, it adaptively uses the gray means of edge direction, the means of high gray and low gray in gradient direction to replace the current pixel gray to reach the purpose of reducing ramp edge width. Membership functions are introduced to describe the degree of whether the dot is in the edge area or in the homogeneous area. Fuzzy strategy has been used to control the enhancement. Results of experiments show that this method enhances the ramp edges while reducing the noise.