| 基于改进SUSAN算法的移动车辆检测 |
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| 引用本文： | 杨艳爽,蒲宝明.基于改进SUSAN算法的移动车辆检测[J].计算机系统应用,2015,24(5):249-252. |
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| 作者姓名： | 杨艳爽 蒲宝明 |
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| 作者单位： | 1. 中国科学院研究生院，北京 100049; 中国科学院沈阳计算技术研究所，沈阳 110168
2. 中国科学院沈阳计算技术研究所,沈阳,110168 |
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| 摘 要： | 针对复杂行车环境下智能车辆行车安全问题，提出了一种基于改进 Susan 边缘检测算法提取车辆边界特征。首先介绍了SUSAN边缘检测算子的原理，然后提出改进的SUSAN算法，即对待检测像素粗略提取，采用一种自适应选取阈值的方法对候选边缘点检测提取边缘。实验表明，算法能在复杂图像中识别前方车辆，有较高的准确度。
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| 关 键 词： | 图像处理 车辆检测 边缘检测 SUSAN算法 自适应阈值 |
| 收稿时间： | 2014/8/29 0:00:00 |
| 修稿时间： | 2014/11/14 0:00:00 |
Moving Vehicle Detection Based on Improved SUSAN Algorithm |
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| YANG Yan-Shuang and PU Bao-Ming.Moving Vehicle Detection Based on Improved SUSAN Algorithm[J].Computer Systems& Applications,2015,24(5):249-252. |
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| Authors: | YANG Yan-Shuang and PU Bao-Ming |
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| Affiliation: | University of Chinese Academy of Sciences, Beijing 100049, China;Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China;Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China |
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| Abstract: | Focused on the intelligent vehicle safety issues under complex traffic environment, this paper presents an algorithm based on an improved SUSAN edge detection to extract the vehicle boundary characteristics. First, we introduce the principle of SUSAN edge detection operator, then present an improved SUSAN edge detection what treats crude extract of pixels and uses an adaptive threshold selection method for the candidate of edge detection to extract the edge. The experimental results indicate that the algorithm can identify in front of the vehicle in the complex image, have higher accuracy. |
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| Keywords: | vehicles detection SUSAN algorithm edge detection image processing adaptive threshold |
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