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基于人眼视觉特性的包装设计图像处理算法 被引量:4

Design of packaging design image processing algorithms based on human visual characteristics
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摘要 针对在产品包装设计图像处理过程中未考虑图像在人眼视觉成像限制的问题,文中提出一种基于人眼视觉特性的包装设计图像处理算法,以实现产品包装图案的增强。通过对人眼的生理构造、视觉成像系统的分析,将人眼视觉注意机制融入到图像灰度直方图的构建过程中,形成图像信息直方图以突出图像中含有重要信息的部分。在此基础上,将人眼感知特性融入到增强算法中,以减小直方图中主灰度级的信息量。同时,结合VHIST制定人眼感知特性的图像特征评价方法。通过与其他文献的结果对比可知,文中所述的图像处理算法可以有效地实现图像增强效果,图像中的重要信息得到了突显,在对比度等指标上的测试结果优于参考文献。 In allusion to the problem that the limitation of human visual characteristics is not considered in the process of image processing of the product packaging design,a packaging design image processing algorithm based on human visual characteristics is proposed to enhance the product packaging pattern.By means of the analysis of the physiological structure and the visual imaging system of the human eye,the visual attention mechanism of the human eye is integrated into the construction process of the image gray histogram to form the image information histogram,so as to highlight the important information part of the image.On this basis,the human visual characteristics are integrated into the enhancement algorithm to reduce the amount of information of the main gray level in the histogram.At the same time,an image feature evaluation method of human visual perception is developed by combing with VHIST.In combination with the results of other literatures,it can be seen that the image processing algorithm described in this paper can effectively achieve the effect of image enhancement,the important information in the image has been prominent,and the testing results on contrast ratio are better than those in the references.
作者 赵嘉 ZHAO Jia(School of Information Technology,Guilin University of Electronic Technology,Guilin 541000,China)
出处 《现代电子技术》 北大核心 2020年第18期135-138,142,共5页 Modern Electronics Technique
基金 2018年度广西高校中青年教师基础能力提升项目(2018KY0827) 2016广西高校人文社科重点培育项目(MLYG2016WT01)。
关键词 产品包装设计 图像处理算法 人眼视觉特性 图像增强算法 信息直方图 人眼注意机制 product packaging design image processing algorithm human visual characteristics image enhancement algorithm information histogram human eye attention mechanism
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  • 1崔晋.浅析计算机三维技术及其在现代影视娱乐传媒中的应用[J].电影评介,2008(24). 被引量:10
  • 2王保平,刘怀亮,李南京,谢维信.一种新的自适应图像模糊增强算法[J].西安电子科技大学学报,2005,32(2):307-313. 被引量:23
  • 3王辉,邹伟,郑睿.基于视觉的移动机器人实时障碍检测研究[J].计算机工程与应用,2005,41(25):46-48. 被引量:10
  • 4马颂德 张正友.计算理论与算法基础[M].北京:科学出版社,1998..
  • 5Rafael C Gonzalez,Richard E Woods.数字图像处理[M].北京:电子工业出版社,2005.
  • 6Don Murray, James J Little. Using real - time stereo vision for mobile robot navigation [J].Autonomous Robots, 2000, 8 (2) :161-171.
  • 7Huang Y P. Obstacle detection in urban traffic using stereo vision [ C]. Vienna,Austria: In Proceedings of the 8th IEEE International Conference on Intelligent Transportation Systems ( ITSC'05 ) , 2005.
  • 8Cyganek B,Siebert J P.三维计算机视觉技术和算法导论[M].陆军,董晓睿,译.北京:国防工业出版社,2014.
  • 9Huang Y P, Fu S, Thompson C. Stereovision - based object segmentation for automotive application [ J]. EURASIP Journal on Applied Signal Processing,2005 (14) :2322 - 2329.
  • 10章毓敏.图像处理和分析教程[M].北京:人民邮电出版社,2009.

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