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.