一种基于Canny理论的自适应边缘检测方法

An Adaptive Edge-detection Method Based on Canny Algorithm

基于 Canny算子 ,提出了一种 Canny自适应的边缘检测方法。 Canny自适应算法在保持了 Canny算子原有的定位准确 ,单边响应和信噪比高等优点的基础上 ,提高了 Canny算子在提取图像边缘细节信息和抑制假边缘噪声方面的性能。Canny自适应算法将整幅图像分割为若干子图像 ,并根据各子图像的边缘梯度信息 ,结合全局边缘梯度特征信息自适应地生成动态阈值 ,提高了边缘检测的自动化程度 ,在实际的应用中获得了很好的效果。通过数学分析和试验结果证明了

This paper is based on Canny algorithm.An adaptive Canny algorithm of edge-detection method is proposed.This algorithm not only keeps the Canny's excellent performance in good localization,only one response to a single edge and good detection,but also improves the performance in the detail edge-detection and good detection. Canny adaptive algorithm divides image into sub-images and detects them with adaptive threshold value according to the whole image edge information, that improves the automaticity of edge-detection.With the mathematic analysis and test result,it is demonstrated that the adaptive edge-detection method is an efficient improving approach on edge-detection.