基于改进遗传算法的图像分割技术研究

目前，在图像分割中有着众多类型的分割方法，其中应用最为常见的是以边缘检测为基础的分割法和基于区域分割基础上的分割法两种，在其实践应用过程中也形成了相应的阂值型、区域跟踪型以及边缘检测型等几种主要类型方法。在此基础上，本文针对阂值型分割方法进行了改进，并基于实验对其有效性进行了论证。

Research on image segmentation based on Improved Genetic Algorithm

At present,in the image segmentation with many types of segmentation method, which used the most common is to detect edges is based segmentation method based on region segmentation segmentation method based on the two,in the process of its application in practice also formed the corresponding threshold value type and region tracking type and edge detection etc.several main types.Based on this.In this paper, according to the threshold value segmentation method are introduced,and demonstrate the validity of the experiment by.