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提出了将自寻优标准遗传算法用于阈值处理的思路与方法，论证了实施该方法的可行性，并针对此算法的不足之处提出了一种新的改进型遗传算法。仿真结果表明，新算法的计算速度不仅明显优于前者，而且为自动选择阈值参数提供了简单有效的方法。
The idea and method of applying self-optimization standard genetic algorithm to threshold processing are presented. The feasibility of implementing this method is demonstrated. A new improved genetic algorithm is proposed according to the shortcomings of this algorithm. The simulation results show that the new algorithm is not only faster than the former, but also provides a simple and effective method for automatically selecting threshold parameters.