基于HSI色彩坐标相似度的彩色图像分割方法  

Color image segmentation based on similarity in HSI color coordinate

作　　者：李宁[1] 许树成[1] 邓中亮[1] 

机构地区：[1]北京邮电大学,北京100876

出　　处：《现代电子技术》2017年第2期30-33,38,共5页Modern Electronics Technique

基　　金：国家"十二五"科技支撑计划:粮食生产环节信息服务集成与应用(2014BAD10B06)

摘　　要：该文提出一种基于HSI彩色空间的图像分割方法。欧氏距离作为图像分割中常用的衡量像素点之间彩色关系的依据,在HSI坐标系下却不能很好地反应两个像素点之间的关系。因此,提出相似度代替欧氏距离作为一种新的衡量两个像素点之间彩色关系的依据。算法通过确定HSI分量中占主导地位的分量,建立彩色图像分割模型,创建一个和原图尺寸一样的颜色相似度等级图,并利用相应的颜色相似度等级图的颜色信息对像素点进行聚类。实验结果表明,所提出的分割算法具有很强的鲁棒性和准确性,在其他条件相同的情况下,基于相似度的分割方法优于基于欧氏距离为基准的彩色图像分割。A new method for color image segmentation which based on HSI color space is presented in this paper. Euclidean distance as a common basis of measuring the colour relationship between two pixels can not reflect the relationship between the two pixels in the HSI coordinate system. Therefore,the traditional Euclidean distance is abandoned,and the color similarity is proposed as a new basis of measuring the relationship between the two pixels. The algorithm is used to build the color image segmentation model by at determining the dominant component in the HSI components and create a color similarity level picture with the size same as the original picture. The color information of the corresponding color level diagram is adopted to cluster the pixel points. The experimental results show that the segmentation algorithm has strong robustness and high accuracy,and under the same conditions,the segmentation method based on similarity is better than the segmentation method based on Euclidean distance.

关 键 词：图像分割 HSI彩色空间 颜色相似度 欧氏距离 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]