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基于阈值分割及分形特征的纸病图像识别算法研究
引用本文:殷燕屏,熊智新,胡慕伊.基于阈值分割及分形特征的纸病图像识别算法研究[J].中国造纸学报,2011,26(4):41-45.
作者姓名:殷燕屏  熊智新  胡慕伊
作者单位:南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037
基金项目:江苏省制浆造纸科学与技术重点实验室开放基金项目(编号:201010)
摘    要:针对脏点、孔洞、褶子和裂口等常见的典型纸病识别问题,在分析纸病图像灰度特征及分形特征基础上,提出了一种基于图像双阈值分割盒维数特征的纸病识别算法,该算法采用灰度阈值分割提取纸病区域及二值数字图像分形盒维数计算结果,确定纸病类型.实验结果表明,该算法识别率较高,且简单迅速.

关 键 词:灰度特征  阈值分割  分形盒维数  纸病识别

Identification Algorithm of Paper Defects Based on Threshold Segmentation and Fractal Characteristics
YIN Yan-ping , XIONG Zhi-xin , HU Mu-yi.Identification Algorithm of Paper Defects Based on Threshold Segmentation and Fractal Characteristics[J].Transactions of China Pulp and Paper,2011,26(4):41-45.
Authors:YIN Yan-ping  XIONG Zhi-xin  HU Mu-yi
Affiliation:YIN Yan-ping XIONG Zhi-xin HU Mu-yi (Jiangsu Provincial Key Lab of Pulp and Paper Science and Technology,Nanjing Forestry University,Nanjing,Jiangsu Province,210037)
Abstract:Aiming at the identification of typical paper defects such as specks,hole,flaw and goffer,through the analysis of the image gray characteristics and fractal feature,a recognized algorithm of paper defects base on threshold segmentation and fractal characteristics is proposed.The algorithm can determine the types of paper defect,according to image characteristics of paper defect after threshold segmentation,and the box-counting dimension of 2-D digital image.Experiment results show that this approach is effi...
Keywords:gray characteristics  threshold segmentation  fractal box dimension  paper defects recognition  
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