Carl Duchesne

TL;DR: In this paper, a PLS-bootstrap-VIP approach is proposed as a simple wavelength selection method, yet having the ability to identify relevant spectral intervals, which is particularly attractive for wavelength selection within hyperspectral images due to its simplicity and relatively low computational cost compared to more sophisticated interval search methods.

TL;DR: In this paper, a multiresolutional multivariate image analysis (MR-MIA) is proposed for the monitoring and control of flotation processes, which can handle spatial (i.e., morphological) and color information of froth images efficiently, and is inherently robust to image quality and lighting conditions.

TL;DR: In this article, the use of numerical image analysis techniques for the extraction of significant patterns from industrial flotation froths is discussed, and the feasibility of implementing a hybrid control strategy consisting in a froth structure supervision controller based on the froth concentrate grade estimated by MIA and recovery inferred by image analysis is discussed.

TL;DR: In this paper, a general machine vision approach for on-line estimation of rock mixture composition is described, and is illustrated on a very challenging nickel mineral system: very heterogeneous minerals, similar coloration, and rock fragments can be dry or wet.

TL;DR: An overview of the history, methods and applications of multivariate image analysis methods as developed for use in the process industries is provided and those aspects of the methods that make them suitable for these tasks are discussed.