计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2015年
5期
57-61
,共5页
双目视觉%图像处理%特征提取%模式判断%位置判断
雙目視覺%圖像處理%特徵提取%模式判斷%位置判斷
쌍목시각%도상처리%특정제취%모식판단%위치판단
binocular vision%image processing%feature extraction%mode identification%location detection
针对传统的线圈感应车辆的方法来判断车辆所在的位置,易出现判断失误、更换设备不方便、费用较高的问题,提出一种适应各种光线变化的双目视觉判断车辆位置的方法来解决此问题。该方法根据白天夜晚的光线不同选取白天模式还是夜间模式,白天模式工作主要包括差值图像的中值滤波、二值图像的提取以及背景的分块实时更新,并在此基础上提出了一种背景差分与帧间差分相结合的车辆位置检测方法,该方法能准确的提取阈值以得到精确的目标轮廊,当工作在夜间模式时,开启红外灯切换到红外 CCD 采集,根据红外灯照射区域的RGB 三色值的大小来判断车辆的位置,这种方法解决了车辆灯光对视频采集的影响。通过实验验证了该方法的有效性。此方法能够准确的判断车辆的位置,并很好的控制闸杆的起落。
針對傳統的線圈感應車輛的方法來判斷車輛所在的位置,易齣現判斷失誤、更換設備不方便、費用較高的問題,提齣一種適應各種光線變化的雙目視覺判斷車輛位置的方法來解決此問題。該方法根據白天夜晚的光線不同選取白天模式還是夜間模式,白天模式工作主要包括差值圖像的中值濾波、二值圖像的提取以及揹景的分塊實時更新,併在此基礎上提齣瞭一種揹景差分與幀間差分相結閤的車輛位置檢測方法,該方法能準確的提取閾值以得到精確的目標輪廊,噹工作在夜間模式時,開啟紅外燈切換到紅外 CCD 採集,根據紅外燈照射區域的RGB 三色值的大小來判斷車輛的位置,這種方法解決瞭車輛燈光對視頻採集的影響。通過實驗驗證瞭該方法的有效性。此方法能夠準確的判斷車輛的位置,併很好的控製閘桿的起落。
침대전통적선권감응차량적방법래판단차량소재적위치,역출현판단실오、경환설비불방편、비용교고적문제,제출일충괄응각충광선변화적쌍목시각판단차량위치적방법래해결차문제。해방법근거백천야만적광선불동선취백천모식환시야간모식,백천모식공작주요포괄차치도상적중치려파、이치도상적제취이급배경적분괴실시경신,병재차기출상제출료일충배경차분여정간차분상결합적차량위치검측방법,해방법능준학적제취역치이득도정학적목표륜랑,당공작재야간모식시,개계홍외등절환도홍외 CCD 채집,근거홍외등조사구역적RGB 삼색치적대소래판단차량적위치,저충방법해결료차량등광대시빈채집적영향。통과실험험증료해방법적유효성。차방법능구준학적판단차량적위치,병흔호적공제갑간적기락。
The traditional method of detecting vehicle location by induction coil vehicle has a lot of problems, such as error in judgment, inconvenient of replacing the equipment and high cost. To solve these problems, this paper proposes a binocular vision method to detect vehicle location. This method adapts to all kinds of light changes. Selecting mode of day or night is determined by the different intensity of light surrounding environment. The mainly works of mode day include the median filtering of difference image, the extraction of binary image and the real-time update of partitioned background. Based on this, the paper proposes a method to detect vehicle location which combine the background subtraction and frame difference methods. This method can accurately extract the threshold value to acquire precise outline of the object. While in night mode, the infrared lamp is opened for switch to infrared CCD acquisition function. It’s according to the values of RGB which in infrared lamp irradiation area to detect the vehicle location. This method has solved the problem of vehicle lights interference to video acquisition. Finally, the method is experimentally verified, and the results show that it can accurately detect the location of the vehicle and control the brake lever ups and downs.