• Laser & Optoelectronics Progress
  • Vol. 55, Issue 12, 121504 (2018)
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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    DOI: 10.3788/LOP55.121504 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Block diagram. (a) Markov process; (b) hidden Markov process
    Fig. 1. 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
    Fig. 2. 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
    Fig. 3. 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
    Fig. 4. 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
    Fig. 5. Smoke in the component analysis and release stage. (a) Smoke in analysis stage; (b) smoke in release stage
    Sequential image sampling
    Fig. 6. Sequential image sampling
    HMM training process
    Fig. 7. HMM training process
    Flow of smoke image classification prediction using HMM
    Fig. 8. Flow of smoke image classification prediction using HMM
    Recognition accuracy comparison for different HMM states
    Fig. 9. Recognition accuracy comparison for different HMM states
    ModelN'Recognition accuracy /%
    HMM287.5
    393.3
    495.0
    590.8
    693.3
    792.5
    892.5
    993.3
    1092.5
    LSSVM69.2
    Table 1. Recognition accuracy comparison for different models
    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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