基于离散余弦变换特征和隐马尔科夫模型的铜熔炼过程烟雾分级 下载: 939次
张宏伟, 张凌婕, 袁小锋, 宋执环. 基于离散余弦变换特征和隐马尔科夫模型的铜熔炼过程烟雾分级[J]. 激光与光电子学进展, 2018, 55(12): 121504.
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.
[2] Russ J C. Image analysis of foods[J]. Journal of Food Science, 2015, 80(9): E1974-E1987.
[10] 王苏恺, 潘晋孝, 陈平. 基于结构连续先验的CT图像序列自适应分割算法[J]. 激光与光电子学进展, 2016, 53(11): 111006.
[13] 朱炳斐, 陈文建, 李武森. 基于Fourier-Mellin变换的液晶显示屏显示缺陷检测[J]. 激光与光电子学进展, 2017, 54(12): 121502.
[14] Kim CW, Kim HG, Suk H G. A study on the composition determination of Cu alloys by image processing technology[J]. Solid State Phenomena, 2006, 116/117: 795- 798.
[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, 2016, 9(4/5): 311-319.
[17] Naidu V P S, Raol J R. Pixel-level image fusion using wavelets and principal component analysis[J]. Defence Science Journal, 2008, 58(3): 338-352.
[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, 2017, 32(1): 151-158.
[21] 尹洪涛, 付平, 沙学军. 基于DCT和线性判别分析的人脸识别[J]. 电子学报, 2009, 37(10): 2211-2214.
[23] 陆兵, 顾苏杭. 基于隐马尔可夫模型和分块特征匹配的目标跟踪算法[J]. 激光与光电子学进展, 2017, 54(9): 091006.
张宏伟, 张凌婕, 袁小锋, 宋执环. 基于离散余弦变换特征和隐马尔科夫模型的铜熔炼过程烟雾分级[J]. 激光与光电子学进展, 2018, 55(12): 121504. 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.