Multilevel minimum cross entropy threshold selection based on quantum particle swarm optimization
基于量子粒子群优化算法的最小交叉熵多阈值图像分割

This paper first presented a recursive programming technique which reduced an order of magnitude for computing for computing the MCET fitness function.Then,a quantum particle swarm optimization(QPSO) algorithm was proposed for searching the near-optimal MCET thresholds.The experimental results show that the proposed QPSO-based algorithm shows highly effective and speediness.