在相关文献的基础上提出一种领域加权预处理方法，基本解决发运用广义模糊算子进行边缘时出现的断线等问题，实验表明本算法相对几种常用的边缘检测算子而言能获得较了的效果。

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.