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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
Identifiers
URN: urn:nbn:se:bth-5774Local ID: oai:bth.se:arkivexB7CD4AB397F6DA77C12571BD0056C1F9OAI: oai:DiVA.org:bth-5774DiVA: diva2:833176
Uppsok
Technology
Supervisors
Note
Mail the author at radoslaw.cichocki(at)gmail.comAvailable from: 2015-04-22 Created: 2006-08-01 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(865 kB)280 downloads
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138c75343357752c2bd29efdfbbae9570d9cf18321042cab8c50064110e75770e4c360b0ae952180d4d331902de4bfd16c16ddf3306ede3468990afb79e8c2d9
Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
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Output format
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