摘要
利用图像边缘灰度突变的特性,提出一种梯度算子结合抽样的快速自适应边缘检测方法。是在对整幅图抽样得到的低分辨率图上搜索出边缘点,然后以此为指导在整幅图上精确定位待检测的目标轮廓。实验证明本文方法不仅能快速准确地提取出单像素目标边缘而且还能较好地抑制细小边缘的干扰,在实际应用中获得良好的效果。
Considering the sudden change of the gray scale of the image edge,a rapid adaptive edge-detection technique was presented which uses gradient operator and sampling.The method in this paper detects image edge in the low-resolution image which is generated by sampling in the whole image,then detects the accurate object profile in the whole image,guided by the information of the low-resolution image.The experiment proves that this method can not only detect the single-pixel profile rapidly and accurately but also avoid detecting exiguous edges,and it has good result in the application.
出处
《计算机与数字工程》
2008年第2期105-109,共5页
Computer & Digital Engineering
关键词
快速边缘检测
自适应
抑制细小边缘
rapid edge-detection,adaptive threshold,restraining exiguous edges
