A genetic algorithms based classifier for object classification in images

Turgay Yilmaz, Yakup Yildirim, Adnan Yazici

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Increase in the use of digital images has shown the need for modeling and querying the semantic content, which is usually defined using the objects in the images. In this paper, a Genetic Algorithm (GA) based object classification mechanism is developed for extracting the content of images. Objects are defined by using the Best Representative and Discriminative Feature (BRDF) model, where features are MPEG-7 descriptors. The classifier improves itself in time, with the genetic operations of GA.

Original languageEnglish
Pages519-525
Number of pages7
DOIs
StatePublished - 2012
Externally publishedYes
Event26th Annual International Symposium on Computer and Information Science, ISCIS 2011 - London, United Kingdom
Duration: Sep 26 2011Sep 28 2011

Conference

Conference26th Annual International Symposium on Computer and Information Science, ISCIS 2011
Country/TerritoryUnited Kingdom
CityLondon
Period09/26/1109/28/11

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