'Constant intensity' diaporamas de présentation

Constant intensity - PowerPoint PPT Presentation

1. Observations and random experiments

1. Observations and random experiments

1. Observations and random experiments. Observations are viewed as outcomes of a random experiment. Observations. Observation ? random experiment (controlled) Outcome cannot be predicted with certainty Range of possible outcomes known

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1.36k views • 84 slides
Image Filtering

Image Filtering

02/02/10. Image Filtering. Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem. Questions about HW 1?. Questions about class?. Room change starting thursday : Everitt 163, same time. Key ideas from last class. Lighting Ambiguity between light source and albedo

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787 views • 63 slides
Filtering

Filtering

Basis beeldverwerking (8D040) d r. Andrea Fuster dr . Anna Vilanova Prof.dr.ir . Marcel Breeuwer. Filtering. Contents. Sharpening Spatial Filters 1 st order derivatives 2 nd order derivatives Laplacian Gaussian derivatives Laplacian of Gaussian ( LoG ) Unsharp masking.

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423 views • 29 slides
optical interferometry and its applications in absolute distance measurements

optical interferometry and its applications in absolute distance measurements

optical interferometry and its applications in absolute distance measurements. by: KHALED ALZAHRANI Liverpool John Moores University GERI. Outlines. Interferometry Concepts Popular inteferometric configurations Absolute distance measurement (ADI). Interferometry Concepts.

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1.47k views • 26 slides
CS 395/495-25: Spring 2004

CS 395/495-25: Spring 2004

CS 395/495-25: Spring 2004. IBMR: Poisson Solvers Can Reconstruct Images from their Changes Jack Tumblin jet@cs.northwestern.edu. Do pixels describe what we see?. What We Want. What We Get. What do you see?. A. B. What part has constant intensity?. What do you see?.

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308 views • 21 slides
CS 395/495-25: Spring 2004

CS 395/495-25: Spring 2004

CS 395/495-25: Spring 2004. IBMR: Poisson Solvers Can Reconstruct Images from their Changes Jack Tumblin jet@cs.northwestern.edu. Do pixels describe what we see?. What We Want. What We Get. What do you see?. A. B. What part has constant intensity?. What do you see?.

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380 views • 21 slides
UV-light

UV-light

MASK ALIGNER: INTRODUCTION. Provides a means to align a pattern on a chip to the pattern on a mask; and then to expose this pattern. UV-light. Mask: quartz + Cr pattern. Photoresist. substrate. The aligner. Pump, service corridor. Lamp power supply. microscope. Manometer box.

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347 views • 13 slides

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