关键词: 目标检测, 线性规划, RGB线性组合, 最优模型

Abstract: 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 values, 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, backlighting 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.

Key words: target detection, linear programming, RGB linear combination, optimal model