Cse 8331 spring 2010 image mining
Download
1 / 13

CSE 8331 Spring 2010 Image Mining - PowerPoint PPT Presentation


  • 99 Views
  • Uploaded on

CSE 8331 Spring 2010 Image Mining. Margaret H. Dunham Department of Computer Science and Engineering Southern Methodist University. The 2000 ozone hole over the antarctic seen by EPTOMS http://jwocky.gsfc.nasa.gov/multi/multi.html#hole. Table of Contents. Image Mining – What is it?

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' CSE 8331 Spring 2010 Image Mining' - ciqala


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Cse 8331 spring 2010 image mining

CSE 8331Spring 2010Image Mining

Margaret H. Dunham

Department of Computer Science and Engineering

Southern Methodist University


The 2000 ozone hole over the antarctic seen by EPTOMS

http://jwocky.gsfc.nasa.gov/multi/multi.html#hole


Table of contents
Table of Contents

  • Image Mining – What is it?

  • Feature Extraction

  • Shape Detection

  • Color Techniques

  • Video Mining

  • Facial Recognition

  • Bioinformatics


Image mining what is it
Image Mining – What is it?

  • Image Retrieval

  • Image Classification

  • Image Clustering

  • Video Mining

  • Applications

    • Bioinformatics

    • Geology/Earth Science

    • Security


Feature extraction
Feature Extraction

  • Identify major components of image

  • Color

  • Texture

  • Shape

  • Spatial relationships

  • Feature Extraction Tutorial

    http://facweb.cs.depaul.edu/research/vc/VC_Workshop/presentations/pdf/daniela_tutorial2.pdf


Shape detection
Shape Detection

  • Boundary/Edge Detection

    http://www.pages.drexel.edu/~weg22/can_tut.htmlSegmentation

  • Segmentation

    http://www.cs.toronto.edu/~jepson/csc2503/segmentation.pdf

  • Time Series – Eamonn Keogh

    http://www.engr.smu.edu/~mhd/8337sp07/shapes.ppt


Color techniques
Color Techniques

  • Color Representations

    RGB: http://www.topbits.com/rgb.html

    HSV: http://www.topbits.com/hsv.html

  • Color Histogram

  • Color Anglogram

    http://www.cs.sunysb.edu/~rzhao/publications/VideoDB.pdf


What is Similarity?

(c) Eamonn Keogh, [email protected]


Video mining
Video Mining

  • Boundaries between shots

  • Movement between frames

  • ANSES:

    http://mmir.doc.ic.ac.uk/demos/anses.html


Facial recognition
Facial Recognition

  • Based upon features in face

  • Convert face to a feature vector

  • Less invasive than other biometric techniques

  • http://www.face-rec.org

  • http://computer.howstuffworks.com/facial-recognition.htm

  • SIMS:

    http://www.casinoincidentreporting.com/Products.aspx


Microarray data analysis
Microarray Data Analysis

  • Each probe location associated with gene

  • Measure the amount of mRNA

  • Color indicates degree of gene expression

  • Compare different samples (normal/disease)

  • Track same sample over time

  • Questions

    • Which genes are related to this disease?

    • Which genes behave in a similar manner?

    • What is the function of a gene?

  • Clustering

    • Hierarchical

    • K-means


Affymetrix GeneChip® Array

http://www.affymetrix.com/corporate/outreach/lesson_plan/educator_resources.affx


Microarray data clustering
Microarray Data - Clustering

"Gene expression profiling identifies clinically relevant subtypes of prostate cancer"

Proc. Natl. Acad. Sci. USA, Vol. 101, Issue 3, 811-816, January 20, 2004


ad