一种改进的基于模糊推理的边缘检测算法

针对基于模糊推理的边缘检测算法中存在的边缘模糊、未去除伪边缘、算法优化效果不佳的问题，提出一种改进的模糊边缘检测算法。给出一种模糊化规则，即利用方向灰度对比度确定边缘隶属度值，增加去除伪边缘的规则，使得边缘细化。实验表明，该算法效果优于模糊竞争算法、Pal King算法和其他一些改进的模糊边缘检测算法。

Improved Edge Detection Algorithm Based on Fuzzy Inference

Aiming at the problems that there exists edge vague, the pseudo-edge cannot be removed and algorithm results do not achieve optimal results by virtue of fuzzy reasoning for edge detection algorithms, this paper proposes an improved fuzzy edge detection algorithm. It proposes a fuzzy rule that uses the contrast of gray-scale’s direction to determine the value of edge’s membership and increase the rules to remove false edge and make edge refined. Tests show that the algorithm is better than fuzzy competitive algorithm, Pal King algorithm and other improved fuzzy edge detection algorithms.