摘要
介绍了一种快速鲁棒的红外图像分割方法,算法是为了满足工程化应用。首先采用Canny边缘检测算子提取图像的边缘像素;然后统计边缘像素灰度值得到红外行人图像的分割阈值,并利用自适应双阈值算法对图像进行初始分割;最后通过边缘扫描对初始分割的图像区域进行边界修正,得到边界更加精确的目标区域。实验结果表明,该方法能够较好地保留行人的边缘信息,减少了区域像素错误分割,且具有较强的实时性。
A fast and robust infrared image segmentation method is introduced, the algorithm is designed to meet the engineering application. Firstly, the edge pixels of the image is extracted using Canny algorithm. Then it gets the segmentation threshold by ana- lyzing the edge pixels and segments the image using adaptive dual-threshold. Finally,it trims the boundary of the foreground region by scan the image edge and gets object regions with more precise boundary. The experimental results show that the segmentation method can retain more edge information of the pedestrian and reduce the wrong segmentation, also it＇ s a real-time algorithm.
出处
《电视技术》
北大核心
2015年第3期11-15,共5页
Video Engineering
基金
中国科学院先导项目(XDA06040300)
广东省教育部产学研结合项目(2012B091000163)
