基于Canny理论的自适应彩色图像边缘检测

Adaptive Color Image Edge Detection Based on Canny Theory

图像信息是图像边缘检测的基础,图像边缘检测是图像特征提取的首要条件。针对彩色图像转换成灰度后会丢失图像信息和传统Canny算子需要人工设定高低阈值的问题,提出了一种基于Otsu的自适应最佳阈值的Canny彩色图像边缘检测算法,实验结果表明,该算法在保证自适应的同时,在保留边缘细节方面也取得了较好的效果。

Image information is the basis of image edge detection and image edge detection is the most important condition for image feature extraction. According to the problem that the transformation of color image into gray image will lead to information lost and the traditional Canny operator need to be set a level of threshold value manually,this paper proposes the Canny color image edge detection algorithm with best adaptive threshold value based on Otsu. The experimental results show that the algorithm ensures the self adaptation while at the same time achieved good results in preserving edge details.