Dr. Harro M.G. Stokman Profile

Dr. Harro M.G. Stokman

Researcher at Univ of Amsterdam

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Author

Publications (5)

Proceedings Article | 16 January 2006 Paper

Integrating colour models for more robust feature detection

F. Aldershoff, Th. Gevers, H. Stokman

Proceedings Volume 6061, 60610D (2006) https://doi.org/10.1117/12.650619

KEYWORDS: Edge detection, Information technology, Detection and tracking algorithms, Fourier transforms, Internet imaging, Electronic imaging, Machine vision, Computer vision technology, Object recognition, Skin

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Proceedings Article | 17 January 2005 Paper

Boosting the discriminative power of color models for feature detection

Harro Stokman, Theo Gevers

Proceedings Volume 5670, (2005) https://doi.org/10.1117/12.587684

KEYWORDS: Image segmentation, Sensors, Detection and tracking algorithms, Mathematical modeling, RGB color model, Color image processing, Edge detection, Error analysis, Algorithm development, Sensor performance

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SPIE Journal Paper | 1 January 2001

Density estimation for color images

Harro Stokman, Theo Gevers

JEI, Vol. 10, Issue 01, (January 2001) https://doi.org/10.1117/12.10.1117/1.1329626

KEYWORDS: RGB color model, Sensors, Cameras, Image analysis, Photons, Error analysis, Transform theory, Data modeling, Optical filters, Image segmentation

Proceedings Article | 21 March 2000 Paper

Error propagation due to color space transforms

Harro Stokman, Theo Gevers

Proceedings Volume 3966, (2000) https://doi.org/10.1117/12.380072

KEYWORDS: RGB color model, Transform theory, Sensors, Cameras, Reliability, CCD cameras, Photon counting, Time correlated photon counting, Image segmentation, Photodetectors

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Proceedings Article | 16 September 1999 Paper

Recovering the spectral distribution of the illumination from spectral data by highlight analysis

Harro Stokman, Theo Gevers

Proceedings Volume 3826, (1999) https://doi.org/10.1117/12.364325

KEYWORDS: Reflection, Sensors, Light sources, RGB color model, Space sensors, Cameras, Image segmentation, Spectrographs, Analytical research, Principal component analysis

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