ECSQARU 2007: Symbolic and Quantitative Approaches to Reasoning with Uncertainty pp 878-888 | Cite as
A Genetic Programming Classifier Design Approach for Cell Images
Abstract
This paper describes an approach for the use of genetic programming (GP) in classification problems and it is evaluated on the automatic classification problem of pollen cell images. In this work, a new reproduction scheme and a new fitness evaluation scheme are proposed as advanced techniques for GP classification applications. Also an effective set of pollen cell image features is defined for cell images. Experiments were performed on Bangor/Aberystwyth Pollen Image Database and the algorithm is evaluated on challenging test configurations. We reached at 96 % success rate on the average together with significant improvement in the speed of convergence.
Keywords
Genetic programming cell classification classifier design pollen classificationPreview
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