'Edge detection' presentation slideshows

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NPR Today

NPR Today

NPR Today “Stylized Rendering Techniques for Scalable Real-Time 3D Animation”, Adam Lake, Carl Marshall, Mark Harris and Marc Blackstein, NPAR 2001 "Computer-Generated Pen-and-Ink Illustration of Trees", Oliver Deussen and Thomas Strothotte, SIGGRAPH 2000

By Gabriel
(418 views)

Computer Vision

Computer Vision

Computer Vision. Spring 2006 15-385,-685 Instructor: S. Narasimhan Wean 5403 T-R 3:00pm – 4:20pm. Boundary Detection: Hough Transform Lecture #9 Reading: Computer Vision (Ballard and Brown): Chapter 4

By elina
(268 views)

Computer Vision

Computer Vision

Computer Vision. Spring 2006 15-385,-685 Instructor: S. Narasimhan Wean 5403 T-R 3:00pm – 4:20pm. Aliasing - Really bad in video. Text Aliasing. Edge Detection Lecture #7. Edge Detection. Convert a 2D image into a set of curves Extracts salient features of the scene

By ostinmannual
(213 views)

Chapter 10: Image Segmentation

Chapter 10: Image Segmentation

Chapter 10: Image Segmentation. Digital Image Processing. Preview. Segmentation is to subdivide an image into its component regions or objects. Segmentation should stop when the objects of interest in an application have been isolated. Principal approaches.

By louvain
(478 views)

Medical Imaging Topic: Radon Transform & Inverse Radon Transf.

Medical Imaging Topic: Radon Transform & Inverse Radon Transf.

ENEE631 Fall 2001 Lecture-22. Medical Imaging Topic: Radon Transform & Inverse Radon Transf. Min Wu Electrical & Computer Engineering Univ. of Maryland, College Park.  http:// www.ece.umd.edu/class/enee631/  minwu@eng.umd.edu. Last Time. Sampling rate conversion

By vicky
(598 views)

For Monday

For Monday

For Monday. No new reading No homework. Program 5. Any questions?. Generation. Producing a syntactically “good” sentence Interesting issues are largely in choices What vocabulary to use What level of detail is appropriate Determining how much information to include. Perception/Vision.

By jenski
(128 views)

Stanford CS223B Computer Vision, Winter 2005 Lecture 3 Filters and Features (with Matlab)

Stanford CS223B Computer Vision, Winter 2005 Lecture 3 Filters and Features (with Matlab)

Stanford CS223B Computer Vision, Winter 2005 Lecture 3 Filters and Features (with Matlab). Sebastian Thrun, Stanford Rick Szeliski, Microsoft Hendrik Dahlkamp, Stanford [with slides by D Forsyth, D. Lowe, M. Polleyfeys, C. Rasmussen, G. Loy, D. Jacobs, J. Rehg, A, Hanson, G. Bradski,…] .

By roza
(211 views)

Image Segmentation

Image Segmentation

Image Segmentation. Prepared by:- Prof. T.R.Shah Mechatronics Engineering Department U.V.Patel College of Engineering, Ganpat Vidyanagar. Topic’s to be covered. Introduction to Image analysis and segmentation Detection of Discontinuity Point, line, edge and combined detection..

By noura
(129 views)

Edge detection

Edge detection

Edge detection. You can find edges in images by subtracting adjacent pixel values: edges show up where they are different. Whether this works depends on how sharp the edges are. Printed letters are very, very sharp. Most stains are not.

By vaughan
(140 views)

Chapter 10 Image Segmentation

Chapter 10 Image Segmentation

Chapter 10 Image Segmentation. Image segmentation divides an image into regions that are connected and have some similarity within the region and some difference between adjacent regions. The goal is usually to find individual objects in an image.

By roxy
(541 views)

Image Segmentation – Edge Detection

Image Segmentation – Edge Detection

Image Segmentation – Edge Detection. Dr. Jiajun Wang School of Electronics & Information Engineering Soochow University. Image Segmentation - 1. Contents. Edge detection Gradient operators Edge linking Hough transform. Image Segmentation - 1. Revisit - Goals of image processing.

By dane
(231 views)

Introduction to Digital Image Processing using MATLAB

Introduction to Digital Image Processing using MATLAB

Introduction to Digital Image Processing using MATLAB. Lecture 11 Image Segmentation 2. By Dr. Khin Thu Zar Win Associate Professor Department of Mechatronic Engineering Yangon Technological University (YTU), Myanmar. Outline of Lecture. Edge Detection Edge Detection Filters.

By adila
(120 views)

Edge detection of high temperature plasmas

Edge detection of high temperature plasmas

Edge detection of high temperature plasmas. Laurence Choi Sean Burke. Plasmas are all over the place. High temperature Often transient Major focus of energy research. UW has 3 major fusion expts. HSX MST Pegasus Short pulse periods Transient instabilities Equilibrium Calculations.

By orly
(95 views)

ECE 480 Design Team 3 Technical Lecture

ECE 480 Design Team 3 Technical Lecture

ECE 480 Design Team 3 Technical Lecture. Arduino Controller Design. Overview. Arduino Fio and XBee Basics Joystick Interface Motor Control Interrupt Sensor. Introduction. Based on Microprocessor ATmega328P 3.3V 8MHz C/C ++ Based http :// arduino.cc/en/Reference/HomePage

By isabella
(131 views)

Non-Intrusive Demand Response Verification

Non-Intrusive Demand Response Verification

Non-Intrusive Demand Response Verification. David Bergman, Kevin Jin, Joshua Juen, Naoki Tanaka CS563 – Fall 2009. Background Overview On-board Algorithms Back-end Algorithms Results and Conclusions. 2. Heater. Heater. Dishwasher. Oven. Non-Intrusive Load Monitoring (NILM). 3.

By karah
(148 views)

VISUAL PROSTHESIS

VISUAL PROSTHESIS

VISUAL PROSTHESIS. By Richard Jones and David Henley. OVERVIEW. Various methods of helping (partially) blind Brain implant Seeing with sound Eye implant. The First Useful Artificial Eye . First implanted in 1978 Allowed ‘ Jerry ’ to see shades of grey

By muniya
(186 views)

Embarrassingly Parallel (or pleasantly parallel)

Embarrassingly Parallel (or pleasantly parallel)

Embarrassingly Parallel (or pleasantly parallel). Domain divisible into a large number of independent parts. Minimal or no communication Each processor performs the same calculation independently “Nearly embarrassingly parallel” Small Computation/Communication ratio

By aaron
(248 views)

Desktop Support for HDF and HDF EOS

Desktop Support for HDF and HDF EOS

Desktop Support for HDF and HDF EOS. Ted Meyer President & CEO fortner software LLC ted@fortner.com (703) 478-0181 ext.119. Noesys VP HDF Features. Complete point-and-click access to HDF View file organization Drag & Drop Components View, create and edit datasets

By maura
(76 views)

ICSM Group meeting

ICSM Group meeting

ICSM Group meeting. Hang Xiao Oct 18, 2012. ICSM Organization. Regular Study Content: Books, tools … Each person is responsible for one chapter How many presenter each time ? Paper Presentation Paper you are interested Implemented algorithm One main presenter

By jack
(77 views)

Image Filtering

Image Filtering

Image Filtering. Problem!. Noise is a problem, even in images!. Gaussian Noise. Salt and Pepper Noise. What to do?. Try to think of ways to remove the noise!. Gaussian Noise. Salt and Pepper Noise. Smoothing. The most obvious and easy way to remove the noise is by averaging.

By stuart
(172 views)

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