1 / 13

CSE 5331/7331 Fall 2007 Image Mining

CSE 5331/7331 Fall 2007 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?

holiday
Télécharger la présentation

CSE 5331/7331 Fall 2007 Image Mining

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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CSE 5331/7331Fall 2007Image Mining Margaret H. Dunham Department of Computer Science and Engineering Southern Methodist University

  2. The 2000 ozone hole over the antarctic seen by EPTOMS http://jwocky.gsfc.nasa.gov/multi/multi.html#hole

  3. Table of Contents • Image Mining – What is it? • Feature Extraction • Shape Detection • Color Techniques • Video Mining • Facial Recognition • Bioinformatics

  4. Image Mining – What is it? • Image Retrieval • Image Classification • Image Clustering • Video Mining • Applications • Bioinformatics • Geology/Earth Science • Security • …

  5. Feature Extraction • Identify major components of image • Color • Texture • Shape • Spatial relationships • Feature Extraction & Image Processing http://users.ecs.soton.ac.uk/msn/book/ • Feature Extraction Tutorial http://facweb.cs.depaul.edu/research/vc/VC_Workshop/presentations/pdf/daniela_tutorial2.pdf

  6. Shape Detection • Blob http://elib.cs.berkeley.edu/blobworld/ • Boundary/Edge Detection • Time Series – Eamonn Keogh http://www.engr.smu.edu/~mhd/8337sp07/shapes.ppt

  7. Color Techniques • Color Representations RGB: http://en.wikipedia.org/wiki/Rgb HSV: http://en.wikipedia.org/wiki/HSV_color_space • Color Histogram • Color Anglogram http://www.cs.sunysb.edu/~rzhao/publications/VideoDB.pdf

  8. What is Similarity? (c) Eamonn Keogh, eamonn@cs.ucr.edu

  9. Video Mining • Boundaries between shots • Movement between frames • ANSES: http://mmir.doc.ic.ac.uk/demos/anses.html

  10. 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

  11. 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

  12. Affymetrix GeneChip® Array http://www.affymetrix.com/corporate/outreach/lesson_plan/educator_resources.affx

  13. 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

More Related