快速模糊边缘检测算法

边缘检测是图象处理中的一个重要组成部分。通过对Pai.King模糊边缘测算法进行改进，提出了一个快速模糊边缘检测算法。该快速算法不但简化了Pil.King算法中复杂的G和G^-1运算，而且通过实验，确定了Tr变换中最佳的隶属度阈值，并减少了迭代次数。从两组实验结果可以看出，快速算法不但提高了Pai.King算法的效率，而且检测效果也优于pai.King算法。快速算法不但适用于普通图象，而且也适应于遥感图象，并具有很强的检测模糊边缘和细小边缘的能力，这种快速算法的性能优越，是一种实用的、有前途的图象处理算法。

Fast Fuzzy Edge-detection Algorithm

Edge detection is an important part of image processing. This paper makes some improvement to the Pal.King fuzzy edge detection algorithm and brings forward a fast fuzzy edge detection algorithm. The fast algorithm not only simplifies the complex G and G -1 calculation in Pal.King algorithm, but also determines the optimal threshold value of degree of dependence of transformation by experiments, and reduces the iteration times. Finally, two group of experiments are put forward, and it can be seen by comparison that the fast algorithm not only improves the Pal.King algorithm efficiency, but also obtains preferable detection effects comparing to the Pal.King algorithm. In addition, it can be seen from the result of the experiments that the fast algorithm not only is applicable for general images, but also is the same with the remote sense images, and the fast algorithm has powerful ability in detection fuzzy edge and exiguous edge. The fast algorithm has superiority capability, and it is a promising and applied image processing algorithm.