基于免疫遗传算法的自适应图像分割方法

Adaptive segmentation method based on immune genetic algorithm

提出了一种基于免疫遗传算法的图像分割新方法。利用生物免疫系统自调节、抗原识别和记忆功能,结合遗传算法对图像进行自适应区域阈值分割,试验结果表明该方法能够克服传统阈值方法对目标大小的限制,是一种有效的图像分割新方法。

A new method for image segmentation based on Immune Genetic Algorithm (IGA) is presented in this paper. Utilizing functions of self-adaptive, antigen recognition and memory of immune system, this method has combined with genetic algorithm to segment image. The experimental results indicate that this new approach is effective for image segmentation, which overcomes the limit of object comparing with other traditional ways.