仿人机器人视觉颜色空间的图像分割算法

An image segmentation algorithm for humanoid robot color space

提出了一种新颖的图像分割算法,用于提高仿人机器人足球比赛中机器人获取的颜色质量.为了使仿人机器人快速获得颜色图像,采用HSI颜色空间,并对现有算法进行了改进,根据每个像素点HSI3值中有关I值的公式对当前像素的主要特征进行判断,采用了模糊K均值聚类的方法进行图像分割.根据每个像素点S值的分布,动态地决定当前选用的是H值还是I值,这样就能够有效地消除HSI模型的不足,使得机器人的视觉能够适应复杂的比赛环境.实验结果表明所提方法有效.

This paper presents a novel image segmentation algorithm of improving the quality of color images for humanoid robot soccer game.For getting quickly the color image,hue-saturation-intensity(HSI) color space is used in which an enhanced fuzzy K means clustering method is designed.While designing the fuzzy K means clustering method,all the similar pixels are found by judging the main feature of current pixel according to an intensity(I value) in the related formula.And the hue(H value) or I value is dynamical...