基于图像分析的彩色三维条码检测  

Color Cast Detection of Color 3D Code Based on Image Analysis

作　　者：苏航 傅民仓[1] 

机构地区：[1]武警工程大学信息工程系,西安710086

出　　处：《科技通报》2017年第11期178-181,共4页Bulletin of Science and Technology

基　　金：国家自然科学基金(61309008)

摘　　要：采用一种图像分析的偏色检测方法,通过建立等效立方体模型,将码块偏色判决条件与条码整体偏色判决条件联系起来,根据条码颜色选取和分布特性提出了新的判决标准。基于图像分析的色偏检测仅利用条码本身的颜色特征进行分析,普遍适用于彩色条码偏色检测。实验表明,基于图像分析的偏色检测方法,应用所建立的判决标准,准确的区分了"可识别"与"需校正"的彩色条码,为下一步彩色条码偏色校正提供了依据。In this paper, a new method of color detection based on image analysis is proposed, which is based on the selection and distribution of bar code. Experimental results show that basing on image analysis and using the judgment standard proposed by this paper it can distinguish the color bar code whether can be identified or need to be corrected. And this method only depends on the characteristics of bar code image, and it has general applicability.

关 键 词：彩色三维码 偏色检测 图像分析 判决标准 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]