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
[2] Russ J C. Image analysis of foods[J]. Journal of Food Science, 80, E1974-E1987(2015).
[14] Kim C W, Kim H G[J]. Suk H G. A study on the composition determination of Cu alloys by image processing technology. Solid State Phenomena, 116/117, 795-798(2006).
[16] Mredhula L, Dorairangaswamy M A. Image denoising using principal component analysis (PCA) and pixel surge model (PSM)[J]. International Journal of Signal and Imaging Systems Engineering, 9, 311-319(2016).
[17] Naidu V P S, Raol J R. Pixel-level image fusion using wavelets and principal component analysis[J]. Defence Science Journal, 58, 338-352(2008).
[18] Hanbay K, Talu M F, Ozguven O F. Real time fabric defect detection by using Fourier transform[J]. Journal of the Faculty of Engineering and Architecture of Gazi University, 32, 151-158(2017).
Get Citation
Copy Citation Text
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
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)