A Genetic Algorithms Based Classifier for Object Classification in Images

Date

2011-09-28

Author

Yilmaz, Turgay
Yildirim, Yakup
Yazıcı, Adnan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Descriptors, Retrieval, Object classification, Genetic operations, Multiple categorization approach, Effectiveness correction factor

URI

https://hdl.handle.net/11511/45995

DOI

https://doi.org/10.1007/978-1-4471-2155-8_66

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

T. Yilmaz, Y. Yildirim, and A. Yazıcı, “A Genetic Algorithms Based Classifier for Object Classification in Images,” 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/45995.