计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2015年
5期
249-252
,共4页
图像处理%车辆检测%边缘检测%SUSAN算法%自适应阈值
圖像處理%車輛檢測%邊緣檢測%SUSAN算法%自適應閾值
도상처리%차량검측%변연검측%SUSAN산법%자괄응역치
vehicles detection%SUSAN algorithm%edge detection%image processing%adaptive threshold
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。
針對複雜行車環境下智能車輛行車安全問題，提齣瞭一種基于改進 Susan 邊緣檢測算法提取車輛邊界特徵。首先介紹瞭SUSAN邊緣檢測算子的原理，然後提齣改進的SUSAN算法，即對待檢測像素粗略提取，採用一種自適應選取閾值的方法對候選邊緣點檢測提取邊緣。實驗錶明，算法能在複雜圖像中識彆前方車輛，有較高的準確度。
침대복잡행차배경하지능차량행차안전문제，제출료일충기우개진 Susan 변연검측산법제취차량변계특정。수선개소료SUSAN변연검측산자적원리，연후제출개진적SUSAN산법，즉대대검측상소조략제취，채용일충자괄응선취역치적방법대후선변연점검측제취변연。실험표명，산법능재복잡도상중식별전방차량，유교고적준학도。
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.
