원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.6 No.6
2013.12
pp.161-168
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract
1. Introduction
2. Image Space Transformation
2. FCM Road Segmentation
2.1. Fuzzy C-Means Algorithm
2.2. Improved Fuzzy C-Means algorithm
3. Road Boundary Detection
3.1. Morphologic Processing of Images
3.2. Road detection based on Hough Transform
4. Experiments and Analysis
5. Conclusions
Acknowledgement
References
1. Introduction
2. Image Space Transformation
2. FCM Road Segmentation
2.1. Fuzzy C-Means Algorithm
2.2. Improved Fuzzy C-Means algorithm
3. Road Boundary Detection
3.1. Morphologic Processing of Images
3.2. Road detection based on Hough Transform
4. Experiments and Analysis
5. Conclusions
Acknowledgement
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보