'Low level image processing' presentation slideshows

Fundamentals of Digital Image Processing

Fundamentals of Digital Image Processing. What is an Image. An image is a 2D function, f(x,y) Where x and y are spatial coordinates Amplitude of f at any pair of coordinates (x,y) is called the intensity or gray level of the image.

1.88k views • 107 slides

Course contents

Course contents. Basic Concepts Computer Design Computer Architectures for AI Computer Architectures in Practice. Types of Parallelism. Focus: parallel systems and languages Types of parallelism (//): Functional //: deriving from the logic of a problem solution

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The Course

1.08k views • 77 slides

Color Image Processing

Color Image Processing. 4.6 Color Image Processing. Color simplifies object extraction and identification human vision : thousands of colors vs max-24 gray levels Color Spectrum white light with a prism (1966, Newton). 4.6 Color Image Processing.

809 views • 52 slides

Parallel Image Processing

995 views • 50 slides

Image Processing

Image Processing. A brief introduction (by Edgar Alejandro Guerrero Arroyo). What is an image?. We can think in an image as a two dimensional array of pixels. What is Image Processing?. Image processing is any form of signal processing for which the input is an image.

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What is Computer Vision?

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420 views • 42 slides

Thinning Algorithms

Thinning Algorithms. Thick images Thin images Color images Character Recognition (OCR). Thinning of thick binary images. Thinning: from many pixels width to just one. Much work has been done on the thinning of ``thick'' binary images,

1.15k views • 37 slides

Thinning Algorithms

Thinning Algorithms. Thick images Thin images Color images Character Recognition (OCR). Thinning of thick binary images. Thinning: from many pixels width to just one. Much work has been done on the thinning of ``thick'' binary images,

761 views • 37 slides

Multimedia Data Introduction to Image Processing

Multimedia Data Introduction to Image Processing . Dr Mike Spann http://www.eee.bham.ac.uk/spannm M.Spann@bham.ac.uk Electronic, Electrical and Computer Engineering. Image Processing Content. Image histograms, histogram equalization and image frequency content. Low level image processing

531 views • 37 slides

COMPUTER VISION Introduction

COMPUTER VISION Introduction. Computer vision is the analysis of digital images by a computer for such applications as:. Industrial: part localization and inspection, robotics Medical: disease classification, screening, planning Military: autonomous vehicles, tank recognition

483 views • 37 slides

ECS 174: Computer Vision April 2nd, 2019

ECS 174: Computer Vision April 2nd, 2019. Yong Jae Lee Assistant Professor CS, UC Davis. Plan for today. Course overview Introduction to computer vision research Logistics and requirements. Introductions. Instructor Yong Jae Lee yongjaelee@ucdavis.edu

540 views • 31 slides

Optimization: Algorithms and Applications

Optimization: Algorithms and Applications. David Crandall, Geoffrey Fox Indiana University Bloomington SPIDAL Video Presentation April 7 2017. Imaging Applications: Remote Sensing, Pathology, Spatial Systems. Both Pathology/Remote sensing working on 2D moving to 3D images

370 views • 31 slides

Computer Vision: Gesture Recognition from Images

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A Modest Overview of Image De-noising Methods

A Modest Overview of Image De-noising Methods. Pengfei Wan* and Yukihiko Yamashita ** * Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology ** Department of International Development Engineering, Tokyo Institute of Technology . OUTLINE.

552 views • 20 slides

Presented by : Ahmed Mesbah Ahmed El- taybany Mentor : Dr. Marwan Torki

Automated Lip reading technique for people with speech disabilities by converting identified visemes into direct speech using image processing and machine learning techniques. Presented by : Ahmed Mesbah Ahmed El- taybany Mentor : Dr. Marwan Torki. Problem. Statistics.

434 views • 20 slides

Multimedia Data Introduction to Image Processing

Multimedia Data Introduction to Image Processing. Dr Sandra I. Woolley http://www.eee.bham.ac.uk/woolleysi S.I.Woolley@bham.ac.uk Electronic, Electrical and Computer Engineering. Image Processing Content. Image histograms, histogram equalization and image frequency content.

355 views • 18 slides

Digital Image Processing

143 views • 14 slides

Embedded System Course

Embedded System Course. The Assignments. Hristo Nikolov. Leiden Embedded Research Center Leiden Institute of Advanced Computer Science Leiden University, The Netherlands. Outline. Computer Vision System Overview Edge Detection Image Processing Sobel Edge Detector Application

225 views • 13 slides