【摘要】 医学图像分割处理为临床诊断、病理分析、治疗提供可靠的依据。为了分割出图像中感兴趣的区域,提出了一种基于灰色理论区域生长分割算法。该方法利用灰色关联理论对图像进行关联性分析,根据像素间全局和局部的关联度,指导区域生长的分割和停止。该方法的最大不同之处在利用灰色理论进行关联性分析,不需要大量数据的统计,算法简单,高效。实验证明,该方法能够有效地分割出目标区域,并且具有一定的抗噪能力,是一种较为有效的图像分割新方法。更多还原

【Abstract】 Segmentation is an important aspect of medical image processing,its purpose is to extract the region of interest from the original images to provide a reliable basis for clinical diagnosis.A novel segmentation technique is presented which is based on grey relational analysis of grey system theory.According to global and local inter-pixel correlation,the region of interest from original images can be extracted.The experimental results show that the algorithms can effectively extract the target area,and has strong anti-noise capability.This new method is simple,fast,and works well for some images.更多还原