基于颜色空间聚类算法的围度标记点优化设计  

Optimization Design of Girth Marker Point Based on Color Space Clustering Algorithm

作　　者：宋仙丽 夏建磊 SONG Xianli;XIA Jianlei(School of Electronic and Information,Zhongyuan University of Technology,Zhengzhou 450007,China)

机构地区：[1]中原工学院电子信息学院,河南郑州450007

出　　处：《现代信息科技》2021年第8期95-98,103,共5页Modern Information Technology

基　　金：河南省高校重点科研项目(19A510005,21A510016,21A520052);校内重大项目成果培育计划(K2020ZDPY02)。

摘　　要：图像匹配是人体测量系统实现围度测量的关键。图像匹配的基础和前提是围度标记点的精准识别,标记点的识别效果受颜色、形状等因素的影响。在图像匹配过程中,可以通过提高彩色标记点的识别效率来提高图像匹配准确性。文章设计多种不同颜色和不同形状的标记点,利用基于HSV模型的颜色空间聚类算法对标记点进行各颜色的分类和坐标的聚类。经实验验证,设计的黄品青圆形的标记点类型的识别效果较好。Image matching is the key for human body measurement system to realize girth measurement.The basis and premise of image matching is the accurate identification of girth marker point.The identification effect of marker point is affected by color,shape and other factors.In the process of image matching,the accuracy of image matching can be improved by improving the identification efficiency of color marker point.In this paper,a variety of marker points with different colors and shapes are designed,and the color space clustering algorithm based on HSV model is used to carry out color classification and coordinate clustering on the marker points.It is verified by experiment that the recognition effect of the designed yellow-magenta-cyan circle mark point type is better.

关 键 词：标记点识别 颜色空间聚类算法 HSV模型 图像匹配 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]