Browsing by author "Heylen, Rob"
Now showing items 1-10 of 10
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3D total variation denoising in X-CT imaging applied to pore extraction in additively manufactured parts
Heylen, Rob; Thanki, Aditi; Verhees, Dries; Luso, Domenico; De Beenhouwer, Jan; Sijbers, Jan; Witvrouw, Ann; Haitjema, Han; Bey-Temsamani, Abdellatif (2022) -
A neural network method for nonlinear hyperspectral unmixing
Koirala, Bikram; Heylen, Rob; Scheunders, Paul (2018) -
A spectral mixing model accounting for multiple reflections and shadow
Andrejchenko, Vera; Zahiri, Zohreh; Heylen, Rob; Scheunders, Paul (2019) -
Encoding Stability into Laser Powder Bed Fusion Monitoring Using Temporal Features and Pore Density Modelling
Booth, Brian; Heylen, Rob; Nourazar, Mohsen; Verhees, Dries; Philips, Wilfried; Bey-Temsamani, Andellatif (2022) -
Estimation of the number of endmembers in a hyperspectral image via the Hubness phenomenon
Heylen, Rob; Parente, Mario; Scheunders, Paul (2017-01) -
MRF-based decision fusion for hyperspectral image classification
Andrejchenko, Vera; Heylen, Rob; Liao, Wenzhi; Philips, Wilfried; Scheunders, Paul (2018) -
Nonlinear hyperspectral unmixing with graphical models
Heylen, Rob; Andrejchenko, Vera; Zahiri, Zohreh; Parente, Mario; Scheunders, Paul (2019) -
Off-axis high-speed camera-based real-time monitoring and simulation study for laser powder bed fusion of 316L stainless steel
Thanki, Aditi; Jordan, Carlos; Booth, Brian; Verhees, Dries; Heylen, Rob; Mir, Mariam; Bey-Temsamani, Abdellatif; Philips, Wilfried; Witvrouw, Ann; Haitjema, Han (2023) -
Spectral variability in a multilinear mixing model
Thorvald, Dox; Heylen, Rob; Scheunders, Paul (2018) -
Towards material and process agnostic features for the classification of pore types in metal additive manufacturing
Vandecasteele, Mathieu; Heylen, Rob; Luso, Domenico; Thanki, Aditi; Philips, Wilfried; Witvrouw, Ann; Verhees, Dries; Booth, Brian (2023)