基于小波神经网络的脑图像分割研究

随着影像学的发展,医学影像设备极大地提高了人类获取自身信息的能力,推动了现代医学的发展.为了更好地获得脑部图像的信息,对脑部图像进行分割研究.首先介绍了脑图像的分割研究背景,然后详细研究了脑图像的分割方法.在分割算法中,给出了脑图像预处理模型,然后通过将小波理论和神经网路相结合提出一种脑部图像分割算法,并将将该算法在脑部图像处理中实现.脑图像分割实验表明算法能够有效地对图像进行分割.实验评估结果显示算法对于脑图像的分割足高效的.

Brain Image Segmentation Based on Wavelet Neural Network

With the development of imaging, medical image documentation equipments improve the human capability of acquiring the self-information remarkably, and promote the development of modern medicine. Firstly, the research background is introduced. Then this paper studies the segmentation of the brain image. Based on wavelet and neural network, a brain image segmentation algorithm is proposed and implemented for brain imaging. Experiments show that the algorithm is effectively carried out for image segmentation. ...