Cite this article as:

LIU Ke-wen, and ZHOU Qu-ding, Investigation on the Feature Extraction from Sectional Image of Sinter Machine End and Its Classification, J. Univ. Sci. Technol. Beijing , 1(1994), No. 1-2, pp.8-14.
LIU Ke-wen, and ZHOU Qu-ding, Investigation on the Feature Extraction from Sectional Image of Sinter Machine End and Its Classification, J. Univ. Sci. Technol. Beijing , 1(1994), No. 1-2, pp.8-14.
引用本文 PDF XML SpringerLink

烧结机尾断面图象的特征提取及其分类

摘要: 本文通过对烧结过程机理的分析,提取了机尾断面图象的一次特征;同时为了使机尾断面图象特征能全面准确地描述烧结过程的变化,本文还在图象一次特征的基础上利用数学变换进行了二次特征的提取。根据对烧结现场一些图象样本提取图象特征表明,利用该方法所提取的图象特征对烧结矿质量有着很好的分类效果.

 

Investigation on the Feature Extraction from Sectional Image of Sinter Machine End and Its Classification

Abstract: On the basis of analyzing the mechanism of sintering porcess, the primary features of the Sectional Image of Sinter Machine End (SISME) were presented. In order to describe the variation of sintering process completely and accurately by using SISME feature, the secondary features extracted by means of mathematical transformation.Testing the SISME secondary features on some SISME samples, it was proved that the features have a good classification effect on sinter quality.

 

/

返回文章
返回