'Image segmentation' presentation slideshows

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DSP-FPGA Based Image Processing System Final Presentation

DSP-FPGA Based Image Processing System Final Presentation

DSP-FPGA Based Image Processing System Final Presentation. Jessica Baxter  Sam Clanton Simon Fung-Kee-Fung Almaaz Karachi  Doug Keen. Computer Integrated Surgery II May 3, 2001. Plan of Action. Project Description Implementation Overview Significance Results Future Directions.

By jovita
(358 views)

Parallel c-means algorithm for image segmentation on a reconfigurable mesh computer

Parallel c-means algorithm for image segmentation on a reconfigurable mesh computer

Parallel c-means algorithm for image segmentation on a reconfigurable mesh computer. Omar Bouattane a , Bouchaib Cherradi b , Mohamed Youssfi c , Mohamed O. Bensalah c. a E.N.S.E.T, Bd Hassan II, BP 159, Mohammedia , Morocco

By halle
(476 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
(247 views)

Image Segmentation

Image Segmentation

Image Segmentation. Nitin Rane. Image Segmentation. Introduction Thresholding Region Splitting Region Labeling Statistical Region Description Application Areas. Introduction. Image segmentation is a topic of IP. Then Why in AI?

By lorna
(201 views)

Segmentation

Segmentation

Segmentation. 16-385 Computer Vision Spring 2018, Lecture 27. http://www.cs.cmu.edu/~16385/. Course announcements. Homework 7 is due on Sunday 6 th . - Any questions about homework 7? - How many of you have looked at/started/finished homework 7?

By magdalena
(286 views)

Image Segmentation by Histogram Thresholding

Image Segmentation by Histogram Thresholding

Image Segmentation by Histogram Thresholding. Venugopal Rajagopal CIS 581 Instructor: Longin Jan Latecki. Image Segmentation. Segmentation divides an image into its constituent regions or objects.

By alisa
(174 views)

Computational Vision CSCI 363, Fall 2018 Lecture 23 Perceptual Organization

Computational Vision CSCI 363, Fall 2018 Lecture 23 Perceptual Organization

Computational Vision CSCI 363, Fall 2018 Lecture 23 Perceptual Organization. Organizing the Scene. Once you have detected oriented lines and determined their depth, color and motion, you must determine which parts of the image go with which other parts. Stages of perceptual organization:

By zaina
(88 views)

“GrabCut”

“GrabCut”

“GrabCut”. Project Progress and Future Plans By: Matthew Marsh. What is “GrabCut”. “GrabCut” is an image segmentation technique My aim is to implement “GrabCut” as a plugin for Gimp Code written in C++ and C. Image Segmentation. Process of Splitting images into parts

By rey
(301 views)

Advanced Cubesat Imaging

Advanced Cubesat Imaging

Nathan Bossart, Joe Mayer, Bob Urberger. Advanced Cubesat Imaging. RASCAL ACIP. RASCAL Mission. RASCAL ACIP. Imaging Payload. Awareness of Cubesat Environment Object detection Navigation. PICTURE HERE. RASCAL ACIP. Modules. Camera Interface

By brock
(141 views)

Data-parallel Abstractions for Irregular Applications

Data-parallel Abstractions for Irregular Applications

Data-parallel Abstractions for Irregular Applications. Keshav Pingali University of Texas, Austin. Motivation. Multicore processors are here but no one knows how to program them A few domains have succeeded in exploiting parallelism

By latona
(94 views)

Mammography image quality optimization: A Monte Carlo study

Mammography image quality optimization: A Monte Carlo study

Mammography image quality optimization: A Monte Carlo study . Quintana Clara. Aim and procedure . The aim of this work is to find the optimal irradiation parameters to improve mammography image quality.

By stew
(89 views)

Spatial Neglect and Attention Networks

Spatial Neglect and Attention Networks

Spatial Neglect and Attention Networks. Stephanie Regan Antoinette Sellers Alyssa Nolde Hannah Stolarczyk. 7. The Core Spatial Deficit and Our Current Understanding. Egocentric Bias

By jett
(187 views)

Learning-based image segmentation for IVUS images

Learning-based image segmentation for IVUS images

Learning-based image segmentation for IVUS images. Raja Yalamanchili Computational Biomedicine Lab. Intravascular Ultrasound (IVUS) imaging. Figure credits:

By kayo
(172 views)

Grouping and Segmentation

Grouping and Segmentation

03/12/12. Grouping and Segmentation. Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem. Announcements. HW 3: due today Graded by Tues after spring break HW 4: out soon Mean-shift segmentation EM problem for dealing with bad annotators Graph cuts segmentation.

By cyma
(170 views)

Visual Recognition: The Big Picture

Visual Recognition: The Big Picture

Visual Recognition: The Big Picture. Jitendra Malik University of California at Berkeley. The more you look, the more you see!. PASCAL Visual Object Challenge. We want to locate the object. Orig. Image. Segmentation. Orig. Image. Segmentation. And we want to detect and label parts.

By yagil
(110 views)

Outline

Outline

A graph, non-tree representation of the topology of a gray scale image Peter Saveliev Marshall University , USA. Outline. A new (directed) graph representation of the topology of a gray scale image is presented.

By hoshi
(114 views)

Face Detection

Face Detection

Face Detection. Amie Chu Jason Lee. Intro & Outline. Choosing Our Algorithm Image Processing Phase I Image Processing Phase II Results Conclusion (hold our breath!). ee368: Amie Chu & Jason Lee. Eigenfaces & DFFS. Neural Networks. Y-Phase. MRC. Edge Orientation Matching.

By tamah
(132 views)

The Clustering Problem

The Clustering Problem

The Clustering Problem. Yongsub Lim Applied Algorithm Laboratory KAIST. Contents. The Clustering Problem Basic Algorithms K-Means K-Clustering of Max. Spacing Two-Phase Algorithms Other Algorithms. The Clustering Problem. Given data, it is to discover “meaningful” groups

By zanthe
(108 views)

Neuron Classification

Neuron Classification

Neuron Classification. SASRUSHA KUSHAL SHASHANK. Goal. To analyze segmented cells Identify cell body Number of bifurcations Polarity Cell contacts/synapses. Some Key Terms in this Project Neurons Synapses Polarity Bifurcations. Neurons:

By kimberly
(137 views)

Advanced Cubesat Imaging

Advanced Cubesat Imaging

Nathan Bossart, Joe Mayer, Bob Urberger. Advanced Cubesat Imaging. RASCAL ACIP. Team Introduction. http://acip.us Facilitator: Bob Urberger Computer Engineering majors Space Systems Research Lab. RASCAL Mission.

By kineta
(123 views)

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