摘要
纹理是一种重要的视觉线索,是图像中普遍存在而又难以描述的特征。纹理分类与分割是图像处理领域一个经久不衰的热点研究领域,纹理特征提取作为纹理分类与分割的首要问题,一直是人们关注的焦点,各种纹理特征提取方法层出不穷。在广泛文献调研的基础上,回顾了纹理特征提取方法的发展历程,分析了其研究现状,对纹理特征提取方法进行了较为全面的综述,对其进行分类和比较,最后给出了纹理研究领域的主要发展趋势。
Texture is an important visual cue. It widely exists in images and is hard to describe. Texture classification and segmentation is a hot research field in image processing. Due to its importance in texture classification and segmentation,texture feature extraction has received considerable attention during the past decades and numerous approaches have been presented in the literature. Based on extensive investigation of existing articles, the development history and current challenges of texture feature extraction methods are reviewed in details. First, a comprehensive overview of texture feature extraction methods is presented in this paper. Then, classification and comparisons of texture feature extraction methods are given. At last, conclusions and future development of texture feature extraction are discussed.
出处
《中国图象图形学报》
CSCD
北大核心
2009年第4期622-635,共14页
Journal of Image and Graphics
关键词
图像纹理
纹理特征提取
灰度共生矩阵
马尔可夫随机场
分形
小波
GABOR滤波器
自回归模型
image texture, texture feature extraction, gray Level co-occurrence matrix, markov random field, fractal, wavelet, Gabor filter, autoregressive model
