基于免疫计算的二次阈值图像分割

Twice Threshold Image Segmentation Based on Immune Algorithm

介绍了免疫计算的原理,并基于免疫计算和最优阈值方法,提出了图像分割的二次阈值方法。在方法中,首先对图像进行免疫阈值分割,求得空间目标的亚图像及目标的中心坐标,再对目标的粗定位区域进行免疫阈值的二次分割,最后较好的得到整个图像目标。

This paper introduces immune computing and threshold image segmentation, then presents a new kind of twice image segmentation. With immune threshold image segmentation algorithms, center coordinates of space object can be obtained firstly, then twice immune threshold segmentation is used to fixed position district. At last, we can obtain whole object image.