摘要
在已有的亚像素边缘定位方法中,从复杂度和运算时间等角度考虑,二次曲线拟合边缘定位是一种较好的方法,然而目前只能应用在直线边缘的亚像素定位中。为此提出了一种针对非直线边缘的复杂图像进行亚像素级边缘定位的算法,依据细化后边缘上前后像素的邻接关系将二次曲线拟合亚像素定位应用到二维情况。实验验证了对直线边缘图片以及具有非直线边缘的实际物体图片进行亚像素级边缘定位的正确性及可靠性。结果表明,不仅可以检测直线,而且对较复杂边缘目标的定位精度达到了亚像素级。
Among all the algorithms used in sub - pixel edge detection, the one according to the fit conic is better than the other. But most applications of this algorithm were used to detect straight line. The paper proposed a developed algorithm aimed to detect the sub - pixel edge in complex image. In this algorithm, the relationship of neighborhood pixels is used to apply the fit conic algorithm to 2D condition. The experiment proves the correctness and reliability of the algorithm proposed in this paper. And the result shows that it not only can detect the line in sub - pixel level, but also can detect the sub -pixel edge of complex edge target.
出处
《计算机仿真》
CSCD
北大核心
2009年第12期190-192,234,共4页
Computer Simulation
关键词
亚像素
单像素边缘
轮廓跟踪
二次曲线拟合
Sub - pixel
Single - pixel edge
Contour tracking
Similar conics fit
