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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?

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CSE 8331 Spring 2010 Image Mining

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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

  • Image Mining – What is it?

  • Feature Extraction

  • Shape Detection

  • Color Techniques

  • Video Mining

  • Facial Recognition

  • Bioinformatics


Image Mining – What is it?

  • Image Retrieval

  • Image Classification

  • Image Clustering

  • Video Mining

  • Applications

    • Bioinformatics

    • Geology/Earth Science

    • Security


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

  • 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 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, eamonn@cs.ucr.edu


Video Mining

  • Boundaries between shots

  • Movement between frames

  • ANSES:

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


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

  • 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

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

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


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