计算机与现代化 ›› 2012, Vol. 208 ›› Issue (12): 66-68,7.doi: 10.3969/j.issn.1006-2475.2012.12.017
• 图像处理 • 上一篇 下一篇
]陈康，黄影平，张仁杰
收稿日期:
修回日期:
出版日期:
发布日期:
CHEN Kang, HUANG Ying-ping, ZHANG Ren-jie
Received:
Revised:
Online:
Published:
摘要： 应用主动轮廓模型对道路现场的行人轮廓和障碍物进行精确轮廓的提取，为基于视觉的辅助驾驶系统中的潜在障碍物分类提供一个有效的手段。首先讨论主动轮廓模型，然后分别应用GVF-Snake模型和level set模型对行人轮廓边缘进行提取实验，并对实验结果进行分析。
关键词: 图像边缘检测, 主动轮廓模型, GVF-Snake, level set
Abstract: This paper uses the active contour models to extract the outline of a pedestrian and obstacles in a road scene accurately, provides an effective means for potential obstacles classification which based on visual auxiliary driving system. First, the paper discusses the active contour models, then uses GVF-snake and level set model to make extraction experiment for pedestrian contour edge, and the experimental results are analyzed.
Key words: image edge detection, active contour model, GVF-Snake, level set
中图分类号:
TP391.41
]陈康;黄影平;张仁杰. 基于主动轮廓模型的行人边缘检测应用研究[J]. 计算机与现代化, 2012, 208(12): 66-68,7.
CHEN Kang;HUANG Ying-ping;ZHANG Ren-jie. Research on Pedestrian Edge Detection Application Based on Active Contour Models[J]. Computer and Modernization, 2012, 208(12): 66-68,7.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2012.12.017
http://www.c-a-m.org.cn/CN/Y2012/V208/I12/66
