1 |
Artificial vision system for particle size characterization from bulk materials Facco P, Santomaso AC, Barolo M Chemical Engineering Science, 164, 246, 2017 |
2 |
Estimation of particle size in hydrocyclone underflow streams by use of Multivariate Image Analysis Aldrich C, Uahengo FDL, Kistner M Minerals Engineering, 70, 14, 2015 |
3 |
Statistical process control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection Prats-Montalban JM, Ferrer A Computers & Chemical Engineering, 71, 501, 2014 |
4 |
Advances on multivariate image analysis for product quality monitoring Facco P, Masiero A, Beghi A Journal of Process Control, 23(1), 89, 2013 |
5 |
In-situ monitoring of pharmaceutical and specialty chemicals crystallization processes using endoscopy-stroboscopy and multivariate image analysis Simon LL, Merz T, Dubuis S, Lieb A, Hungerbuhler K Chemical Engineering Research & Design, 90(11), 1847, 2012 |
6 |
Localisation and characterisation of incipient brown-rot decay within spruce wood cell walls using FT-IR imaging microscopy Fackler K, Stevanic JS, Ters T, Hinterstoisser B, Schwanninger M, Salmen L Enzyme and Microbial Technology, 47(6), 257, 2010 |
7 |
화상분석을 이용한 소프트 센서의 설계와 산업응용사례 2. 인조대리석의 품질 자동 분류 류준형, 유준 Korean Chemical Engineering Research, 48(4), 483, 2010 |
8 |
On-line prediction of crystallinity spatial distribution across polymer films using NIR spectral imaging and chemometrics methods Gosselin R, Rodrigue D, Duchesne C Canadian Journal of Chemical Engineering, 86(5), 869, 2008 |
9 |
A machine vision approach to on-line estimation of run-of-mine ore composition on conveyor belts Tessier J, Duchesne C, Bartolacci G Minerals Engineering, 20(12), 1129, 2007 |
10 |
Application of numerical image analysis to process diagnosis and physical parameter measurement in mineral processes - Part I: Flotation control based on froth textural characteristics Bartolacci G, Pelletier P, Tessier J, Duchesne C, Bosse PA, Fournier J Minerals Engineering, 19(6-8), 734, 2006 |