摘要
选取自动阈值分割法对图像进行分割,采用最大面积法选取初始阈值,运用最大类间、类内方差比法对图像进行分割。考虑到户外路面区域容易受阴影干扰的情况,选取了三个颜色空间,首先在亮度空间对道路进行初始分割,然后,在另外两个空间根据阴影的特点进行阴影检测,再利用基于边缘的分割对图像进行分割,找出道路的可行驶区域。
The image is divided utilizing the auto-threshold segmentation method, in which the maximum area method is adopted to determine the initial threshold, and the maximum interclass variance and minimum internalclass variance are applied for the initial segmentation. Considering that road identification are easily interfered by shadow, three special color spaces are designed. Firstly, the initial segmentation is carried out in a bright space, followed by detecting shadow according to the characteristics of the shadow in the other spaces, then then image is divided based on the edge segmentation, and finally the running region of the automobile can be obtained.
出处
《铸造技术》
CAS
北大核心
2009年第5期682-685,共4页
Foundry Technology
关键词
机器视觉
图像分割
道路识别
Machine vision
Image segmentation
Road identification
