一种基于改进遗传算法的图像分割方法

An Image Segmentation Method Based on Improved Genetic Algorithm

基于改进遗传算法的图像分割方法是在传统阈值分割的基础之上,加入线性分割以及遗传算法.为提高分割效果,分割之前首先对图像进行拉伸,增强图像的明暗对比度;然后再进行改进的遗传算法操作,通过不断迭代进化确定出图像分割的最优阈值;最后利用遗传算法确定的最优阈值进行阈值分割.实验证明,基于改进遗传算法的图像分割算法可以大大提高图片分割的精确度和准确率,取得了较好的分割效果.

The image segmentation method based on improved genetic algorithm is on the basis of the traditional threshold segmentation, adding linear segmentation and genetic algorithm. In order to improve the segmentation effect, firstly, the image was stretched to enhance the brightness contrast of the image. Then the improved genetic algorithm was performed, and the optimal threshold of image segmentation was determined by iterative evolution. At last, the optimal threshold was divided by genetic algorithm. Experimental results show that the image segmentation algorithm based on improved genetic algorithm can greatly improve the precision and accuracy of image segmentation and achieve better segmentation results.