摘要
图像处理是机器鱼水球比赛中的关键环节,一个优秀的图像处理系统对比赛顺利进行起着至关重要的作用;但是在以往的机器鱼比赛中,图像处理系统都是在比赛开始之前进行环境的调节和设定,这种方式显然不适应机器鱼比赛中环境具有多变性的现实。文章提出了一种基于反馈学习的自适应式图像处理方案,通过分析提取图像处理得到的结果,不断对图像处理过程中的各种参数进行调整,以期程序参数能够最大化适应现场环境。实验表明,相对于传统的静态处理方案,基于反馈学习的自适应动态图像处理方案具有更强的适应性,适用于多变的机器鱼比赛环境。
Image process is a key process to the fish-like robot polo game. A good image process system is one of the basic elements of winning the game. But in the past games, it was before the game begun that we make effort to adjust the parameters to adapt to the environment. Obviously, this kind of method couldn＇t meet the reality of the changeable competition environment. This paper proposes a self adaptive image process method based on feedback and study. It adjusts parameters used in the image process progress by studying the intermediate results it produced. In this way, the parameters of the program can be maximally adaptive to the environment. Large number of experiments shows that this processing scheme can achieve good recognition results. It meets the requirement of the changeable fish-like robot polo game environment.
出处
《机电一体化》
2012年第4期36-39,共4页
Mechatronics
关键词
反馈学习
自适应
图像处理
机器鱼水球比赛
动态调节
feedback and study self adaptive image process fish-like robot polo game adjust dynamically
