文章基本信息

标题：Rural Road Detection of Color Image in Complicated Environment
本地全文：下载
作者：Zhang Wan-zhi ; Wang Zeng-cai
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：6
页码：161-168
DOI：10.14257/ijsip.2013.6.6.15
出版社：SERSC
摘要：To realize rural road detection in complication environment, a method based on improved FCM (Fuzzy C-Means) and Hough transformation has been proposed. Firstly, the road image is transformed from RGB space into HIS space. Second, the initial clustering center is determined using climbing method looking for image saturation histogram peak in HIS color space and the road area is detected using improved FCM. Finally, after morphological image processing, road boundary is detected using Hough transformation. Experimental results show that the method presented in this paper has good ability to detect the road boundary. The method is robust and not influenced by shadow, water vestige, rainy days and other environmental factors.
关键词：rural road; saturation; feature extraction; clustering algorithms; boundary ; detection; image analysis