CAJ | 학술논문

提出了一种基于高斯拟合的亚像素边缘检测算法.采用了传统的边缘检测算法进行粗定位,然后再用高斯拟合的亚像素边缘检测得到亚像素边缘的位置.理论表明高斯函数拟合的亚像素边缘检测算法时间较短、抗噪声能力较强是一种比较适合于实际工作需求的检测方法.
제출료일충기우고사의합적아상소변연검측산법.채용료전통적변연검측산법진행조정위,연후재용고사의합적아상소변연검측득도아상소변연적위치.이론표명고사함수의합적아상소변연검측산법시간교단、항조성능력교강시일충비교괄합우실제공작수구적검측방법.
Proposed sub-pixel edge detection algorithm based on Gaussian fitting. Using the traditional edge detection algorithms for coarse positioning, and then use the Gaussian fitting sub-pixel edge detection to get the position of sub-pixel edge. Gaussian theory suggests that sub-pixel edge detection algorithm is shorter, stronger noise immunity is a more appropriate method to detect the actual work requirements.