中国造纸学报2011，Vol.26Issue(4)：41-45,5.
基于阈值分割及分形特征的纸病图像识别算法研究
Identification Algorithm of Paper Defects Based on Threshold Segmentation and Fractal Characteristics
摘要
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 2-0 digital image. Experiment results show that this approach is efficient, simple and fast for paper defects recognition.关键词
灰度特征/阈值分割/分形盒维数/纸病识别Key words
gray characteristics/ threshold segmentation/ fractal box dimension/ paper defects recognition分类
信息技术与安全科学引用本文复制引用
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):41-45,5.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). （编号:201010）
