基于灰度共生矩阵的图像分割方法研究

图像分割技术广泛应用于工业生产、生物医学图像分析、军事应用等方面。文中着重阐述了灰度共生矩阵的原理及特点,进行了基于灰度共生矩阵的纹理特征提取试验。采用加权欧式距离方法,对图像的特征值进行分类识别,实现对纹理图像区域的划分,然后利用聚类分析等方法对纹理区域进行融合,以达到实现图像分割的目的。试验表明,利用基于灰度共生矩阵的方法,实现对图像的分割具有一定的准确性和实用性,并能较好的实现图像分割效果。

Research on the Method of Image Segmentation Based on the Gray Level Co-occurrence Matrix

Image segmentation has been widely used in industrial production,biomedical image analysis,and military applications.The paper focuses on the principle of the gray-level co-occurrence matrix and takes a texture feature extraction test based on the gray-level co-occurrence matrix.The Weighted Euclidean Distance method is used to identify the characteristic value of image classification and to divide the texture image region.Cluster analysis methods such as integration of the texture region are adopted so as ...