Classification of objects in images based on various object representations
Independent thesis Advanced level (degree of Master (One Year))Student thesis
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.
multiple cue object recognition, color histogram, skeletal graph
IdentifiersURN: urn:nbn:se:bth-5774Local ID: oai:bth.se:arkivexB7CD4AB397F6DA77C12571BD0056C1F9OAI: oai:DiVA.org:bth-5774DiVA: diva2:833176
Mail the author at radoslaw.cichocki(at)gmail.com2015-04-222006-08-012015-06-30Bibliographically approved