'Image matrix' presentation slideshows

Math 2999 presentation

Math 2999 presentation. Singular Value Decomposition and its applications. Yip Ka Wa (2009137234). 1. Mathematics foundation. Singular Value Decomposition.

1.06k views • 105 slides

Visibility Subspaces : Uncalibrated Photometric Stereo with Shadows

Visibility Subspaces : Uncalibrated Photometric Stereo with Shadows. Kalyan Sunkavalli, Harvard University Joint work with Todd Zickler and Hanspeter Pfister. Published in the Proceedings of ECCV 2010 http://gvi.seas.harvard.edu/. Shading contains strong perceptual cues about shape.

662 views • 46 slides

Chapter 3: Image Display 3.1 Introduction

Chapter 3: Image Display 3.1 Introduction. We look at image quality and how that may be affected by various image attributes For human vision in general, the preference is for images to be sharp and detailed There are many factors that will affect the display ambient lighting,

518 views • 34 slides

Image Restoration

Image Restoration. Introduction. Image restoration concerns the removal or reduction of image degradation that have occurred during the acquisition of the image Degradation due to noise, optical effects Using neighborhood operations, frequency domain processes. Model. Spatial domain

528 views • 28 slides

Imaging Translational Water Diffusion with Magnetic Resonance for Fiber Mapping in the Central Nervous System

Imaging Translational Water Diffusion with Magnetic Resonance for Fiber Mapping in the Central Nervous System. Basics of diffusion-weighted MRI Fiber Mapping from Rank-2 Tensor Model High-Angular-Resolution Diffusion Imaging Matrix Acquisition Model fitting Diffusion parameter images

376 views • 25 slides

Cellular Automata based Edge Detection

Cellular Automata based Edge Detection. Cellular Automata Definition. A discrete mathematical system characterized by local interaction and an inherently parallel form of evolution

514 views • 24 slides

CT Physics

CT Physics. V.G.Wimalasena Principal School of radiography. Slice / Cut. The cross sectional portion of the body which is scanned for the production of CT image is called a slice. The slice has width and therefore volume . The width is determined by the width of the x-ray beam.

506 views • 23 slides

Image Processing using Matlab

Image Processing using Matlab. Sumitha Balasuriya http//www.dcs.gla.ac.uk/~sumitha/. Images in Matlab. Matlab is optimised for operating on matrices Images are matrices! Many useful built-in functions in the Matlab Image Processing Toolbox

858 views • 19 slides

Warm Up

Identify and Perform Dilations. Warm Up. Lesson Presentation. Lesson Quiz. If ABC ~ DEF, ?nd each value. 25. 36. 5. ANSWER. ANSWER. ANSWER. 5. 2. Warm-Up. 1. EF. 2. AC. 3. scale factor. a. Because = , the scale factor is k = .

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Geometry

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Introduction to Programming in MATLAB

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Design of Large ICs (5kk53)

Design of Large ICs (5kk53). The application: Image compression G. de Haan. 400 pixels/line. 40 pixels/line. 300 lines. 30 lines. Image = matrix of brightness values. More pixels per image ? better resolution ? more storage capacity. JPEG principle.

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EXAMPLE 3

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EXAMPLE 5

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EXAMPLE 4

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