文章摘要
炭黑分散度独立成分提取Fisher判别的研究
Application of independent component extraction-based Fisher discrimination to carbon black dispersity
  
DOI:
中文关键词: 炭黑分散度  独立成分提取  Fisher判别  判别模型
英文关键词: carbon black dispersity  independent component extraction  Fisher discrimination  discrimination model
基金项目:
作者单位
谢振合 华南理工大学 数学科学学院 
摘要点击次数: 534
全文下载次数: 2
中文摘要:
      探讨炭黑分散度独立成分提取Fisher判别的模型建立并设计其应用软件系统。建模过程包括图像采集、图像处理、特征指标体系设立、独立成分提取、模型建立与分析。该判别法适用于硫化胶和混炼胶炭黑分散度的识别,识别准确率较高(约90%)。应用软件系统操作方便。
英文摘要:
      A model for the independent component extraction-based Fisher discrimination of carbon black dispersity has been established and its applied software system has been designed.The model establishing process includes image aquisition,image processing,set-up of characteristic index system,independent component extraction,and model establishment and analysis.The discrimination is applicable for determination of carbon black dispersity in rubber mix or vulcanizate with a higher accuracy(about 90%).The software system is easy to operate.
Author NameAffiliation
XIE Zhen-he South China University of Technology 
查看全文   查看/发表评论  下载PDF阅读器
关闭