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Classification of objects in images based on various object representations
Blekinge Institute of Technology, School of Engineering, Department of Systems and Software Engineering.
2006 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

Object recognition is a hugely researched domain that employs methods derived from mathematics, physics and biology. This thesis combines the approaches for object classification that base on two features – color and shape. Color is represented by color histograms and shape by skeletal graphs. Four hybrids are proposed which combine those approaches in different manners and the hybrids are then tested to find out which of them gives best results.

Place, publisher, year, edition, pages
2006. , 42 p.
Keyword [en]
multiple cue object recognition, color histogram, skeletal graph
National Category
Computer Science
URN: urn:nbn:se:bth-5774Local ID: diva2:833176
Mail the author at radoslaw.cichocki(at)gmail.comAvailable from: 2015-04-22 Created: 2006-08-01 Last updated: 2015-06-30Bibliographically approved

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