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Received:August 29, 2014 Revised:November 14, 2014
Received:August 29, 2014 Revised:November 14, 2014
中文摘要: 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.
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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杨艳爽,蒲宝明.基于改进SUSAN算法的移动车辆检测.计算机系统应用,2015,24(5):249-252
YANG Yan-Shuang,PU Bao-Ming.Moving Vehicle Detection Based on Improved SUSAN Algorithm.COMPUTER SYSTEMS APPLICATIONS,2015,24(5):249-252
杨艳爽,蒲宝明.基于改进SUSAN算法的移动车辆检测.计算机系统应用,2015,24(5):249-252
YANG Yan-Shuang,PU Bao-Ming.Moving Vehicle Detection Based on Improved SUSAN Algorithm.COMPUTER SYSTEMS APPLICATIONS,2015,24(5):249-252
