An Adaptive Algorithm of Fuzzy Edge Width Reduction
自适应模糊边缘减宽增强算法

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.