'Segmentation results' presentation slideshows

Joshua R. New Knowledge Systems Laboratory Jacksonville State University

An Advanced User Interface for Pattern Recognition in Medical Imagery: Interactive Learning, Contextual Zooming, and Gesture Recognition. Joshua R. New Knowledge Systems Laboratory Jacksonville State University. Outline. Introduction Techniques: Segmentation, Magnification, Exploration

533 views • 53 slides

Joshua R. New Knowledge Systems Laboratory Jacksonville State University

An Advanced User Interface for Pattern Recognition in Medical Imagery: Interactive Learning, Contextual Zooming, and Gesture Recognition. Joshua R. New Knowledge Systems Laboratory Jacksonville State University. Outline. Introduction Techniques: Segmentation, Magnification, Exploration

534 views • 53 slides

Interactive Geodesic Segmentation of n-Dimensional Medical Images on the Graphics Processor

Interactive Geodesic Segmentation of n-Dimensional Medical Images on the Graphics Processor. A. Criminisi, T. Sharp and K. Siddiqui. State of the art v. our algorithm. State of the art segmentation algorithms QPBO Tree-reweighted mess. passing Random Walker Min-cut/max-flow

565 views • 34 slides

Multi-view Traffic Sign Detection, Recognition and 3D Localisation

Multi-view Traffic Sign Detection, Recognition and 3D Localisation. Radu Timofte, Karel Zimmermann, and Luc Van Gool. Problem definition. Input: Large set of views and corresponding camera locations Output: List of traffic signs. Outline. Single view

277 views • 26 slides

How reliable is the result?

2. 1. 4. 3. How reliable is the result?. Who are these people? Are you sure?. Ground truth Accurate landmark Inaccurate landmark. 2. 1. 4. 3. Defining Reliability. Estimation based on intensity model of each landmark. Intrinsic precision. A. Martinez (2002)

391 views • 25 slides

Barcelona Forum on Ph.D. Research in Communications, Electronics and Signal Processing

389 views • 25 slides

Quantitative Brain Structure Analysis on MR Images

Quantitative Brain Structure Analysis on MR Images. Zuyao Shan, Ph.D. Division of Translational Imaging Research Department of Radiological Sciences. Outline. Introduction Cerebellum segmentation ( Preliminary study ) Cortical structure segmentation. Brain Segmentation.

402 views • 24 slides

M. Aguilar, J. R. New and E. Hasanbelliu Knowledge Systems Laboratory MCIS Department

Advances in the Use of Neurophysiologycally-based Fusion for Visualization and Pattern Recognition of Medical Imagery. M. Aguilar, J. R. New and E. Hasanbelliu Knowledge Systems Laboratory MCIS Department Jacksonville State University Jacksonville, AL 36265. Outline. Introduce Med-LIFE.

309 views • 23 slides

Chinese Word Segmentation Method for Domain-Special Machine Translation

396 views • 23 slides

Wei-Bang Chen and Chengcui Zhang Department of Computer and Information Sciences

imArray - An Automated High-Performance Microarray Scanner Software for Microarray Image Analysis, Data Management and Knowledge Mining. Wei-Bang Chen and Chengcui Zhang Department of Computer and Information Sciences University of Alabama at Birmingham. Microarray slide.

231 views • 22 slides

Implementing the

Implementing the. segmentation technique as a plugin for the GIMP. By: Matthew Marsh Supervisors: Prof Shaun Bangay Mrs Adele Lobb. Problem statement:. The open source community require a quick, easy to use segmentation tool with matting capabilities. Aim:.

346 views • 20 slides

Interactive Segmentation for Manipulation in Unstructured Environments

Interactive Segmentation for Manipulation in Unstructured Environments. Jacqueline Kenney Oliver Brock May 30 th , 2008 New England Manipulation Symposium. An Unstructured Enviroment. Gradient Example. Objects Can Have Similar Appearances. Vision Can Be Ambiguous. Motion Examples.

291 views • 20 slides

Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets

210 views • 19 slides

283 views • 16 slides

Introduction

Background Removal of Multiview Images by Learning Shape Priors Yu-Pao Tsai, Cheng-Hung Ko, Yi-Ping Hung, and Zen-Chung Shih IEEE 2007. Introduction. Multiview images (MVIs) segmentation

288 views • 16 slides