A Genetic Programming Classifier Design Approach for Cell Images
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Pollen grains contour analysis on verification approach
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
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Pollen grain classification have recently received more attention from computer vision researchers. To distinguish among taxa, palynologist make direct use of keys such as the size, exine structure and sculpture of the pollen grains. We propose a framework in which the pollen grains of each taxa are characterized using brightness and shape descriptors derived from their intensity images. These descriptors are associated to the ornamentation and morphology of the pollen grain. The method is statistically evaluated on preparations containing species of the Urticaceae family.