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. / Mail the author at radoslaw.cichocki(at)gmail.com
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-5774 |
| Date | January 2006 |
| Creators | Cichocki, Radoslaw |
| Publisher | Blekinge Tekniska Högskola, Avdelningen för programvarusystem |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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