摘要
针对非结构化道路所处自然环境复杂、传统检测算法受各种因素干扰较大的问题,提出一种将逆透视变换和图像自适应阈值选择相结合的分割算法,对道路图像进行分割。详细介绍了算法流程及其原理,并实现了目标区域的有效提取,结果证明此算法正确、有效。
Aiming at the fact that unstructured roads were situated complex natural environment and the traditional detection algorithm was affected by various factors largely, an inverse perspective transformation and image adaptive threshold selec- tion combining segmentation algorithm for road image segmentation was proposed. Algorithmic process and its principles were introduced. The target area was also extracted efficiently. Results show that this algorithm is correct and effective.
出处
《军事交通学院学报》
2014年第2期91-95,共5页
Journal of Military Transportation University
基金
国家自然科学基金重大研究计划重点资助项目(91120306)
关键词
逆透视变换
自适应阈值
形态学处理
inverse perspective transformation
adaptive threshold
morphological processing
