摘要： 采用离散平稳小波变换对纹理图像进行分解,以各层小波系数中能量为特征相向量,采用模糊c-均值聚类(FCM)对图像分割,并对分割方法进行了改进,提出采用网格法,将图像分解成若干子图像,对图像进行粗分割,再对边缘部分的网格进行细分的两步分割法。试验结果表明该方法显著提高了分割速度和精度。

关键词: 平稳小波, 纹理图像, 分割, 模糊聚类

Abstract: Stationary wavelet transform is used to decompose texture image for image segmentation. The texture features are extracted from thewavelet coefficient energy. Then fuzzy c-means clustering method(FCM) is used to complete the texture image segmentation. In order to progressthe accurateness and efficiency of texture image segmentation, the improved segmentation method is presented. The progress is divided into twosteps. The first step is coarse segmentation, then detecting the boundary of segmentation for accurate segmentation. The experiment results show thatthe improved method is efficient.

中图分类号: 

• TP391.41