Feature Selection of Red and White Cells of Urinary Sediment Images Based on Bi-directional Genetic Algorithm

Based on red cell and white cell binary class space feature selection issue, this paper proposes one modified genetic algorithm for it. The modified genetic algorithm uses feature-fixing technology, and puts the Niche technology and adaptive mutation operator together to improve the genetic algorithm. The paper also introduces voting mechanism for it. Experimental results show that the algorithm performs better than Simple Genetic Algorithm(SGA), as it reduces the features and complexity of the Back Propogation Neural Network(BPNN) classifier apparently.