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Advanced Image Mining Techniques for Exploration and Analysis

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Explore feature extraction, shape detection, color techniques, and video mining in image mining. Discover applications in bioinformatics, geology, Earth science, and security.

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Advanced Image Mining Techniques for Exploration and Analysis

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  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

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