基于最大类间方差法与GA相结合的图像分割算法研究

Research on Image Segmentation Based on OTSU Algorithm and GA

采用一种基于最大类间方差法与GA相结合的分割算法,先对GA的初始种群进行交叉、变异操作寻找分割阈值的最优解;并在此基础上,结合最大类间方差法的自适应性,在设定的阈值范围内进行局部最优搜索;最后,获取图像分割的最佳阈值。通过Matlab仿真实验得出,本算法在图像分割过程中具有速度快、效果好的优势。

Segmentation algorithm is adopted based on the Otsu algorithm and GA. first the initial population of GA is intersected and mutated to search the optimal segmentation threshold; and then on this basis, the adaptivity of Otsu is combined with to search the local optimum in the range of a set threshold; finally, the optimal threshold of image segmentation is obtained. Through Matlab simulation experiments, this algorithm has the advantages of fast speed and good effects in the process of image segmentation.