一种基于Sobel算子的边缘检测算法

An Edge Detection Algorithm Based on Sobel Operator

针对传统Sobel边缘检测算法对噪声敏感、定位不够精确的缺点,提出了改进Sobel算子的边缘检测算法。算法基于均值计算和差分处理角度构造了5×5的梯度权值模板,通过改进的非极大抑制算法有效细化了边缘,采用局部自适应动态阈值提取边缘信息。通过实验表明,该算法不仅能够较快、较好的提取边缘信息,而且具有较强的抗噪能力。

Aiming at the shortcomings of traditional Sobel edge detection algorithm such as noise sensitivity and inaccurate location,an improved Sobel operator edge detection algorithm is proposed.Based on mean calculation and difference processing,a 5×5 gradient weight template is constructed.The edge is refined effectively by improved non-maximum suppression algorithm,and the edge information is extracted by local adaptive dynamic threshold.Experiments show that the algorithm not only can extract edge information quickly and better,but also has strong anti-noise ability.