在分析已有的仿生机器鱼视觉系统工作原理的基础上,提出了基于红外成像技术的视觉子系统改进设计方法。首先指出了现有的系统在数据处理速度上的不足,然后分析了其中的原因并提出了可能的改进办法,提出若将目标信息改为红外灰度图像将大大提高系统处理的速度,并据此选择红外传感器。在此基础上,给出了基于红外灰度图像的信号处理办法,做出了智能化系统设计,并对改进后的系统进行了仿真测试。结果表明,改进后的系统具有明显的优越性。所提出的改进办法对提高仿生机器鱼的反应速度和智能性有借鉴意义。

Based on the analysis for the vision system of the existing automaton fish, an improved method is presented. First of all, the paper points out the disadvantages of the existed system, especially on the time of data processing, then discusses the possible improving approaches. According to the comparison and discrimination, we affirm that if the target information changed into infrared image we can greatly reduce the data processing time. After the comparison for the several main sensors, we can draw the conclusion that the infrared imaging sensor is the best choice. Then, we present an intelligent signal processing design for the fish, make a simulating test for the improved system. Compared with the old way, the new design witnesses an evident advantage. All in all, the improvement discusses in the paper can serve as a positive reference for the overall design for the automaton fish.