摘要
在传统的颜色相关直方图基础上,提出了一种基于空间和颜色自相关的直方图目标检测算法(Spatial and Color Co-occurrence Histogramms,SCCH),该方法采用符合人眼感知的HSV颜色空间,并对其进行非均匀量化,使其更加符合人类生理机制;SCCH算法强调颜色过渡区域的重要性,选取边缘点作为计算对象,同时利用颜色自相关直方图,减少计算量,大大提高了检测效率。
Based on spatial and color co-occurrence histogram a new non-uniform color quantization algorithm of object detection called SCCH is proposed.The SCCH is based on the HSV color region within human perception.The method emphasizes the importance of transition regions of colors, adding geometric information to the normal color histogram,choosing edge points as computing objects.At the same time,the method only considers color co-occurrence histograms of the same colors to reduce computation and impove the eff...
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2008年第S2期202-204,共3页
Journal of Jilin University:Engineering and Technology Edition
基金
高等学校博士学科点专项科研基金项目(20050183032)
吉林省教育厅科学基金计划项目(2004150).
关键词
计算机应用
目标检测
空间和颜色相关直方图
特征提取
computer application
object detection
spatial and color co-occurrence histogram
character abstraction
