摘要
梯度阈值的选择以及弱边界的检测是二维图像边缘检测技术中存在的复杂问题。为了克服这两个问题,本文提出一个新的边缘检测策略。根据新的策略,二维图像被看作连续函数在二维规则网格上的离散采样,而真实边界线被看作分布在二维规则网格中的连续隐曲线。我们首先从图像中检测及追踪那些包含连续边界线的网格。然后根据这些网格确定离散的边缘。由于新的策略可以利用连续边界的连通特性有效地去追踪那些未检测出的边界,因此新的边缘检测策略可以比较好地克服上述两个复杂问题。
Selecting gradient threshold and detecting weak board are complex issues in edge detection of two-dimensional image. To overcome these two problems,this paper presents a new strategy of edge detection.Under the new strategy,two-dimension- al images are regarded as discrete samples of continuous functions separated by two-dimensional regular grids,and real boundary lines are the implicit continuous curves distributing in two-dimensional regular grids.Firstly,we detected and tracked the grids containing continuous boundary lines,and then,determined discrete edges according to the grids we detected.Because we can track the borders that have not been detected effectively by means of the connectivity of continuous boundary in our new strate- gy,we can overcome the above two complex issues effectively.
出处
《微型电脑应用》
2008年第2期8-12,4,共5页
Microcomputer Applications
关键词
边缘检测
连续隐曲线
零交叉
Edge detection
Implicit continuous curves
Zero-crossing
