计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
18期
218-223
,共6页
目标检测%线性规划%RGB线性组合%最优模型
目標檢測%線性規劃%RGB線性組閤%最優模型
목표검측%선성규화%RGB선성조합%최우모형
target detection%linear programming%RGB linear combination%optimal model
为提高目标检测的准确性，提出了最优RGB线性组合颜色模型目标识别方法。统计目标及背景代表性点的红色、绿色、蓝色3个分量值，设计线性规划目标函数及约束条件，利用红色、绿色、蓝色3个分量统计值求线性规划问题的最优解，建立最优RGB线性组合颜色模型。顺光、侧光、侧逆光、逆光4种采光拍摄条件下120幅图像的试验结果表明：该方法较R-B、2R-G-B、G-B法的目标与背景灰度差值都大、误检率与漏检率都低，可广泛用于与背景存在颜色差异的目标检测。
為提高目標檢測的準確性，提齣瞭最優RGB線性組閤顏色模型目標識彆方法。統計目標及揹景代錶性點的紅色、綠色、藍色3箇分量值，設計線性規劃目標函數及約束條件，利用紅色、綠色、藍色3箇分量統計值求線性規劃問題的最優解，建立最優RGB線性組閤顏色模型。順光、側光、側逆光、逆光4種採光拍攝條件下120幅圖像的試驗結果錶明：該方法較R-B、2R-G-B、G-B法的目標與揹景灰度差值都大、誤檢率與漏檢率都低，可廣汎用于與揹景存在顏色差異的目標檢測。
위제고목표검측적준학성，제출료최우RGB선성조합안색모형목표식별방법。통계목표급배경대표성점적홍색、록색、람색3개분량치，설계선성규화목표함수급약속조건，이용홍색、록색、람색3개분량통계치구선성규화문제적최우해，건립최우RGB선성조합안색모형。순광、측광、측역광、역광4충채광박섭조건하120폭도상적시험결과표명：해방법교R-B、2R-G-B、G-B법적목표여배경회도차치도대、오검솔여루검솔도저，가엄범용우여배경존재안색차이적목표검측。
Optimal linear combination of RGB color model target recognition is proposed in order to improve the accuracy of target detection. This paper records the target and background on points of sampling of red, green, blue component val-ues, and then designs linear programming objective function and constraints. It makes out of the optimal solution of linear programming problem by using red, green, blue component statistics, and establishes the optimal linear combination of RGB color model. Under four kinds of light shooting conditions such as smooth light, side light, side backlight, backlight-ing with the experiment of 120 images, it concludes that:this method, by contrast of R-B, 2R-G-B, G-B, has larger gray difference in objectives and background, and shows the lowest false detection rate and missing detection rate. Thus, it can be adopted in target detection which has color difference with the background.
