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.
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.
Citation:
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.
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.
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