摘要
从仿生学角度出发,用模拟人眼-脑系统对条形码图像处理分析,并用面元作为视觉符号对条形码图像进行描述.这种用面元描述的图像语法结构压缩了计算机图像存贮器的容量,并使条形码图像结构或图像语法分析变得简单及快速,面元的相对面积值又可以直接用于条形码的译码处理.本文还对用面元进行条形码图像描述所需的精度作了分析.
As density of bar code is increasing constantly, reading and processing of bar code, especially 2-D bar code, are faced with more and more serious difficulty in CCD camera system of high resolving power, memory volume of computer image, and speed of image processing. In this paper bar code images are processed and analysed with simulated human eye-brain system from bionics, and bar code images are described with area element as visual symbols. The structure of syntactical image will discribed with area element as visual symbols. The structure of syntactical image compresses volume of computer image memory effectively. And structural or syntactical image analysis becomes very simple and fast. The relative area value is used in decode processing directly. This article also analyses to describe the required accuracy of symbol formation is analysed.
出处
《复旦学报（自然科学版）》
CAS
CSCD
北大核心
1993年第3期349-355,共7页
Journal of Fudan University：Natural Science
关键词
条形码
视觉符号
图象处理
bar code
visual symble
shape segmentations
run coding
structure of syntactical image
syntactical image analysis
