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纸币面值识别系统图像分割技术的算法
引用本文:郭艳平,侯凤贞.纸币面值识别系统图像分割技术的算法[J].重庆工学院学报,2008,22(11):124-126,153.
作者姓名:郭艳平  侯凤贞
作者单位:[1]南京航空航天大学金城学院,南京211156 [2]中国药科大学基础部信息管理教研室,南京210009
基金项目:国家自然科学基金资助项目(60701002)
摘    要:研究了4种图像分割算法:双峰法、迭代算法、最大类间方差法和最大熵阈值法,并分别给出经这4种算法处理后的图像分割效果图.实验表明:迭代算法对纸币面值识别系统而言是较理想的分割方法.

关 键 词:图像分割  双峰法  迭代法  最大类间方差法  最大熵阈值法

Algorithmic Research on Image Segmentation Technology in Banknote Identification System
GUO Yan-ping,HOU Feng-zhen.Algorithmic Research on Image Segmentation Technology in Banknote Identification System[J].Journal of Chongqing Institute of Technology,2008,22(11):124-126,153.
Authors:GUO Yan-ping  HOU Feng-zhen
Affiliation:GUO Yan-ping1,HOU Feng-zhen2(1.Jincheng College,Nanjing University of Aeronautics , Astronautics,Nanjing 211156,China,2.Information Management Teaching , Research Section,Department of Basic Science,China Pharmaceutical University,Nanjing 210009,China)
Abstract:This article systematically studies four methods for image segmentation: bimodal method,iterative algorithm,Otus method and maximum entropy threshold method,and presents the corresponding image segmentation effect charts separately.Experimental results show that iterative algorithm is an ideal segmentation method for banknote identification system.
Keywords:image segmentation  double-peak method  iterative method  OTUS method  the maximum entropy threshold method  
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