Hyperspectral Image Processing: Best Strategies for Extracting the Info скачать в хорошем качестве

Hyperspectral Image Processing: Best Strategies for Extracting the Info

Dr Cristina Malegori (University of Genoa, Italy) talks about how to extract valuable information from your chemical images. Links: Research group: https://journals.sagepub.com/doi/pdf/... Chemometric school of Genova: http://www.difar.unige.it/index.php/i... Download the CAT software: http://www.gruppochemiometria.it/inde... Forensic case study: Malegori, C., Alladio, E., Oliveri, P., Manis, C., Vincenti, M., Garofano, P., ... & Berti, A. (2020). Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics. Talanta, 120911. https://doi.org/10.1016/j.talanta.202... Case study on cheese: Malegori, C., Oliveri, P., Mustorgi, M., Boggiani, M.A., Pastorini, G., Casale, M. (2021). An in-depth study of cheese ripening by means of NIR hyperspectral imaging: 1spatial mapping of dehydration, proteolysis and lipolysis. Food Chemistry. Under revisions Case study on coffee: Oliveri, P., Malegori, C., Casale, M., Tartacca, E., & Salvatori, G. (2019). An innovative multivariate strategy for HSI-NIR images to automatically detect defects in green coffee. Talanta, 199, 270-276. https://doi.org/10.1016/j.talanta.201... Coffee kernel classification: Practical comparison of sparse methods for classification of Arabica and Robusta coffee species using near infrared hyperspectral imaging. R Calvini, A Ulrici, JM Amigo. Chemometrics and Intelligent Laboratory Systems 146, 503-511 Transferring results from NIR-hyperspectral to NIR-multispectral imaging systems: A filter-based simulation applied to the classification of Arabica and Robusta green coffee. R Calvini, JM Amigo, A Ulrici. Analytica chimica acta 967, 33-41 Book chapter, last slide: C. Malegori, P. Oliveri (2018). Principal Component Analysis (Chapter 7). In: L.M.L. Nollet, F. Toldrá (Eds.), Hyperspectral Imaging Analysis and Applications for Food Quality, Ed: CRC Press Book. ISBN 9781138630796,. Pp. 85 – 107. https://www.researchgate.net/publicat...