摘要
分析了Canny边缘检测算法的性能,针对Canny算法的不足提出了一种改进检测方法。算法根据图像的梯度信息特征,用梯度的熵和标准差能自适应地调整高低阈值,提高了边缘检测的自动化程度。
The capability of edge detection using Canny algorithm is analyzed. In order to avoid the defects of Canny algorithm, an improved adaptive edge-detection of Canny algorithm is brought forward. This algorithm atuoadjusts the high and low threshold value of the edge examination by using gradient entropy and standard deviation accoding to the image edge grads information, so that improves the automaticity of edge-detection.
出处
《科学技术与工程》
2007年第16期4067-4069,共3页
Science Technology and Engineering
基金
国家863计划(2006AA03A139)资助
关键词
CANNY算法
自适应阈值
熵
标准差
canny algorithm
apadtive threshold
entropy
standard deviation