利用分布式主动智能体检测灰度图像的对称轴

Using Distributed Active Agents to Detect the Symmetry Axes in Gray Images

图像的对称性研究是模式识别和计算几何的重要内容,在目标识别、视觉监视和形状表示等研究中有一定的应用价值.提出一种利用分布式主动智能体提取灰度图像中的基本反射对称轴的新方法,它通过对智能体在局部图像环境中定居、发展以及迁徙和死亡等行为的模拟来检测、编组和连接显著的局部对称轴.该方法可以提取任意灰度图像中的基本反射对称轴,并且易于并行实现,关于自然图像的实验结果表明了它的有效性.

As an important research area in pattern recognition and computation geometry, the symmetry of image has many applications in object recognition, visual inspection and shape representation etc. A novel approach that uses distributed active agents to extract the basic reflectional symmetry axes in gray images is presented. It detects, groups and links the prominent local symmetry axes by simulating the behaviors of the agents such as inhabit, evolve, diffusion and death in local image environment. It can extract the basic reflectional symmetry exes of the arbitrary gray images and is suitable for parallel implementation. The experimental results on the natural images show that this approach is efficient.