摘要
通过对Pal.King的模糊边缘检测算法进行改进，提出了一种快速模糊边缘检测算法。该快速算法不但简化了Pal.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，大大地减少了迭代次数。从实验结果中可以看出，该快速算法不但提高了Pal.King算法的效率，而且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，是一种非常实用的、高效的的图像处理算法。
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, 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 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.
出处
《计算机工程》
CAS
CSCD
北大核心
2002年第10期126-127,156,共3页
Computer Engineering
