摘要
在对图像进行分割时,为了能够快速有效地求出最优分割阈值,对遗传算法进行了改进,并将其应用于Otsu图像分割。改进后的遗传算法随着适应度不同可自动调整遗传控制参数,并且收敛性好,不易早熟,最后能够得到图像分割的最佳阈值。通过实验可以看出,该方法得出的阈值更加稳定,阈值计算的时间也有极大提高,更能满足图像分割的要求。
In order to quickly and efficiently find out the optimal segmentation threshold during the image segmentation,the Genetic Algorithm(GA)is improved in this paper,and applied to the Ostu image segmentation.The improved genetic algorithm can automatically adjust the parameters of genetic control with the different fitness values of individuals,and with good convergence.It is not easy to early mature.Finally it can get the optimal threshold in image segmentation.Through the experiment,it can be seen that the thresholds is more stable and consumes less time,and can more satisfy the requirement of image segmentation by this improved genetic algorithm.
出处
《长春工程学院学报（自然科学版）》
2016年第4期105-107,共3页
Journal of Changchun Institute of Technology：Natural Sciences Edition
关键词
图像分割
遗传算法
阈值
image segmentation
genetic algorithm
threshold
