灰度矩阵纹理特征提取 毕业论文.doc

I 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,最后主要研究了基于灰度共生矩阵的图像问题提取方法,研究如何有效地抽取图像纹理特征对图像进行描述,由特征值来对图像识别。灰度共生矩阵是一种简单有效的图像纹理描述方法,该方法的优势在于:它能利用了图像中像素相对位置的空间信息更加准确地描述图像的纹理,本文就是利用灰度共生矩阵的这一特性,从该矩阵中抽取相应的统计参量作为纹理特征来实现图像识别。关键字:灰度共生矩阵,纹理特征提取,图像识别 II ABSTRACT Texture isa kind of important visual clues in images,is widespread and describe the characteristics. Texture classification and segmentation image processing area a enduring popular research fields, texture feature extraction as texture classification and segmentation priority, and has been the focus of attention, all sorts of texture feature extraction method to emerge in endlessly. On the basis of extensive literature investigation, reviews the texture feature extraction method, analyzes the development of the research status of the texture feature extraction method makes prehensive review of its classification, main research, finally based on gray symbiotic matrix image problem extraction method, research how to effectively extract image texture feature described by the image characteristic value, to image recognition. Graylevel co-occurrence matrix isa simple and effective image texture description methods, this method's advantage is: it can use the image pixels relative positions of the spatial information more accurately describe the texture image, this paper is to use the graylevel co-occurrence matrix of the properties, extracting from the matrix corresponding statistics as texture feature parameters to realize image recognition. KEY WORDS : graylevel co-occurrence matrix, texture feature extraction, image recognition III 目录摘要................................................................................................................................ 1 ABSTRACT .......................................................................................................................