摘要
自上世纪60年代起,鱼游运动机理分析一直是研究的热点之一。本文提出了一种基于序列图像的鱼游运动机理分析方法,从图像处理的角度来分析鱼游运动机理问题。该方法首先通过图像差分得到鱼体的轮廓,然后利用能量函数自动抽取游动鱼体的体干曲线。在此基础上,通过样条曲线参数拟合进一步得到鱼体游动时体干曲线形变的准确数据和各种运动学参数。以黑鳍鲨稳态游动为例,本文还建立了鲹科模式游动的运动学参数模型并讨论了模型中参数对鱼体游动的影响。实验表明,相比于传统方法,本文所提出的方法无需对实验环境和对象加以限制,可以自动获得鱼类游动时的体干曲线形变的准确数据,从而据此建立更加真实有效的鱼游运动学参数模型。
Fish swimming locomotion mechanism is one of the hotspots in the field of mechanics since 1960s. In this paper we presented an analytical method for fish locomotion mechanism based on image sequences from the point of view of image processing. An energy function was employed to obtain the skeleton of a fish body. By using a spline based curve fitting technique to fit the data above, we could find out the locomotion mechanism of fish and establish an accurate and practical mathematical model of fish kinematics. The experimental results show that the method can obtain more precise data without any additional restricts such as environment or object compared with traditional method, and the mathematical model is more accurate and practical.
出处
《实验力学》
CSCD
北大核心
2005年第4期525-531,共7页
Journal of Experimental Mechanics
关键词
鱼游运动
机理分析
图像处理
仿生学
fish swimming
locomotion mechanism
image processing
biomimetics
