An Improved GFO Algorithm for High Quality Edge-Detection Of Images
实现图象边缘检测的改进广义检糊算子法

The conventional algorithms for edge-detection are based on the gray gradient in an image, and it is inevitable to get wide edges . Generalized Fuzzy Operator ( GFO ) is a new efficient algorithm for edge-detection 1]. By use of GFO, a high quality edge image with very low noise can be obtained. This paper presents an improved algorithm of GFO, Before the implement of GFO, a Neighborhood-weighted pre-processing is realized to original images, which can help GFO to solve some problems such as discontinuous lines of edges. Our experiments show that this method appears preferable to others.