计算机应用 ›› 2005, Vol. 25 ›› Issue (01): 117-118.DOI: 10.3724/SP.J.1087.2005.0117
• 图像处理与多媒体 • 上一篇 下一篇
邓娟，杨家明
发布日期:
出版日期:
DENG Juan, YANG Jia-ming
Online:
Published:
摘要： 提出了一种采用灰度向量描述纹理基元的结构性统计方法,该方法可以较好地提取物体表面的结构特征。在用该方法对纹理进行描述的基础上,采用了改进的模糊C均值聚类算法对提取的纹理特征进行分割。将此方法应用到Brodatz标准纹理分类实验中,得到很好的效果。
关键词: 纹理元, 纹理分割, 模糊C均值聚类, KL变换
Abstract: A new textural images segmentation method was proposed based on textural statistical concept. By using this method to describe texture, an improved c-means fuzzy clustering algorithm was adopted to realize non-supervised textural images segmentation.
Key words: texture primitive, texture segmentation, fuzzy C-mean clustering, K-L transform
中图分类号:
TP391.41
邓娟，杨家明. 基于灰度向量表示的纹理元集的非监控纹理图像分割[J]. 计算机应用, 2005, 25(01): 117-118.
DENG Juan, YANG Jia-ming. Non-supervised textural images segmentation based on texture primitive set denoted by grey vector[J]. Journal of Computer Applications, 2005, 25(01): 117-118.
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链接本文: http://www.joca.cn/CN/10.3724/SP.J.1087.2005.0117
http://www.joca.cn/CN/Y2005/V25/I01/117
