改进的种子点生长模糊边缘检测算法

Seed Point-growth Algorithm of Image Edge Detection Based on Improved Fuzzy Edge Detection Algorithm

针对传统模糊边缘检测算法计算量大、效率低的弱点,利用图像边界点连续的特性,结合模糊边缘检测算法的思想,提出了一种基于模糊理论的改进种子点生长边缘检测算法。利用相应算法建立两张快速查找表,对图像中的像素点通过查表,选取种子点,根据边缘点的判断准则对其进行生长,最终实现边缘检测。实验证明,算法具有较高的效率和较强的抗噪能力。

In this article,by use of the characteristic that edge is continual and the algorithm based on the growth of the seed point SUSAN edge detection,according to the low efficiency and huge calculation amount of traditional fuzzy edge detection,the images of the corner points using the Susan algorithm was obtained,and then the corner points as seed points,and the growth was carried on according to the criteria to determine the edge points,finally the edge detection was realized.The experimental results based on this method were proved to be feasible.