Laser & Optoelectronics Progress, Volume. 55, Issue 12, 121504(2018)

Smoke Classification in Copper Smelting Process Based on Discrete Cosine Transform Features and Hidden Markov Model

Hongwei Zhang1,3、*, Lingjie Zhang1, Xiaofeng Yuan2, and Zhihuan Song3
Author Affiliations
  • 1 College of Electronics and Information, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
  • 2 School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China
  • 3 Department of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China
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    Figures & Tables(10)
    Block diagram. (a) Markov process; (b) hidden Markov process
    Smoke in the feeding and stirring process. (a) Smoke in feeding stage; (b) smoke in stirring stage
    Smoke in the smooth melting process. (a) Smoke 1; (b) smoke 2
    Smoke in the last stage of smelting process. (a) Smoke 1; (b) smoke 2
    Smoke in the component analysis and release stage. (a) Smoke in analysis stage; (b) smoke in release stage
    Sequential image sampling
    HMM training process
    Flow of smoke image classification prediction using HMM
    Recognition accuracy comparison for different HMM states
    • Table 1. Recognition accuracy comparison for different models

      View table

      Table 1. Recognition accuracy comparison for different models

      ModelN'Recognition accuracy /%
      HMM287.5
      393.3
      495.0
      590.8
      693.3
      792.5
      892.5
      993.3
      1092.5
      LSSVM69.2
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    Hongwei Zhang, Lingjie Zhang, Xiaofeng Yuan, Zhihuan Song. Smoke Classification in Copper Smelting Process Based on Discrete Cosine Transform Features and Hidden Markov Model[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121504

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    Paper Information

    Category: Machine Vision

    Received: Apr. 20, 2018

    Accepted: Jul. 12, 2018

    Published Online: Aug. 1, 2019

    The Author Email: Hongwei Zhang (zhanghongwei@zju.edu.cn)

    DOI:10.3788/LOP55.121504

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