西南师范大学学报(自然科学版)
西南師範大學學報(自然科學版)
서남사범대학학보(자연과학판)
JOURNAL OF SOUTHWEST CHINA NORMAL UNIVERSITY
2014年
11期
90-95
,共6页
运动阴影去除%边缘特征%车辆检测%背景差法
運動陰影去除%邊緣特徵%車輛檢測%揹景差法
운동음영거제%변연특정%차량검측%배경차법
moving shadow removal%edge feature%vehicle detection%background subtraction
首先设计了一种新的预处理流程,去除非阴影及车辆区域的边缘;其次,对边缘图像进行填充,得到运动部分的轮廓边缘图;最后,建立边缘擦除法则,擦去阴影部分的边缘,并对边缘图进行填充,得到最终的去除了阴影的目标图像。算法的核心是将前景图像中的阴影边缘从目标边缘上分离出来,着重解决了实际应用中经常出现的目标轮廓图边缘和实际阴影轮廓边缘不重合造成阴影边缘无法去除的问题,同时很好解决了多个前景目标因阴影而粘连的情况。大量实际道路视频图像的测试表明,本算法去除阴影效果好,有较强的实际应用价值。
首先設計瞭一種新的預處理流程,去除非陰影及車輛區域的邊緣;其次,對邊緣圖像進行填充,得到運動部分的輪廓邊緣圖;最後,建立邊緣抆除法則,抆去陰影部分的邊緣,併對邊緣圖進行填充,得到最終的去除瞭陰影的目標圖像。算法的覈心是將前景圖像中的陰影邊緣從目標邊緣上分離齣來,著重解決瞭實際應用中經常齣現的目標輪廓圖邊緣和實際陰影輪廓邊緣不重閤造成陰影邊緣無法去除的問題,同時很好解決瞭多箇前景目標因陰影而粘連的情況。大量實際道路視頻圖像的測試錶明,本算法去除陰影效果好,有較彊的實際應用價值。
수선설계료일충신적예처리류정,거제비음영급차량구역적변연;기차,대변연도상진행전충,득도운동부분적륜곽변연도;최후,건립변연찰제법칙,찰거음영부분적변연,병대변연도진행전충,득도최종적거제료음영적목표도상。산법적핵심시장전경도상중적음영변연종목표변연상분리출래,착중해결료실제응용중경상출현적목표륜곽도변연화실제음영륜곽변연불중합조성음영변연무법거제적문제,동시흔호해결료다개전경목표인음영이점련적정황。대량실제도로시빈도상적측시표명,본산법거제음영효과호,유교강적실제응용개치。
The new algorithm is ,firstly ,related to the designation of a new pre‐process method to remove the un‐shadow and un‐vehicle's edge ,secondly ,to the fulfillment of the edge image to get the foreground's contour edge of moving part ,and ,lastly ,to establishment of edge erase rules to remove the shadow ed‐ges ,and to fill the marginal figure ,in order to get the final target image that its shadow has been re‐moved .The kernel of this algorithm separates the shadow edge from the foreground .In practical applica‐tions ,the foreground's contour edge is often not coincide with shadow's contour edge ,so it will be difficult to remove the shadow edges ,this algorithm can solve this problem .When the multiple vehicles adjoined with each other by shadows ,this method can also split them .Experiments on practical traffic video se‐quences demonstrate that our method is efficient and robust ,it has strong practical application value .