Description: Genetic algorithm is currently widely used in many scientific experiments in the field of a nonlinear parallel algorithm. In this paper, genetic algorithm in the digital gray level image binarization of the application, proposed a new binarization of grayscale method. The method by optimizing each sub-group improved calculation and dynamic fitness function, to identify new segmentation threshold. experimental verification of the method for the general quality of the image noise has a good effect.
- [based_on_GA.cpp] - Using genetic algorithm image threshold
- [dlfg] - Through the genetic algorithm to choose
- [GA-BP] - This is a genetic algorithm to optimize
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NeighborhoodModel-NM.pdf
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