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基于灰度共生矩阵的纹理特征提取
引用本文:高程程,惠晓威.基于灰度共生矩阵的纹理特征提取[J].计算机系统应用,2010,19(6):195-198.
作者姓名:高程程  惠晓威
作者单位:辽宁工程技术大学电子与信息工程学院,辽宁,葫芦岛,125105
摘    要:纹理广泛存在于自然界中,是物体表面最本质的属性。纹理分析技术一直是热门的研究领域,纹理特征提取作为纹理分析的首要任务更是人们研究的焦点。针对五种木材纹理提出了用灰度共生矩阵的方法提取纹理特征,通过MATLAB仿真实现,结果表明由灰度共生矩阵产生的四个纹理特征能有效的描述木材的纹理特征,具有较好的鉴别能力。

关 键 词:纹理  纹理特征  特征提取  纹理分析  灰度共生矩阵
收稿时间:2009/10/3 0:00:00
修稿时间:2009/11/2 0:00:00

GLCM-Based Texture Feature Extraction
GAO Cheng-Cheng and HUI Xiao-Wei.GLCM-Based Texture Feature Extraction[J].Computer Systems& Applications,2010,19(6):195-198.
Authors:GAO Cheng-Cheng and HUI Xiao-Wei
Institution:(School of Electronics and Information Engineering, Liaoning Technical University, Huludao 125105, China)
Abstract:Widespread in nature Texture, texture is the most essential properties of the surface. Texture analysis has been a hotspot in research. As the primary task of texture analysis, texture feature extraction is the focus of study. This paper puts forward a texture features extraction method for the five kinds of wood grain with the gray level co-occurrence matrix. The MATLAB simulation results show that the gray level co-occurrence matrix generated by the four texture features can effectively describe the texture characteristics of wood with good differentiation.
Keywords:texture  texture features  features extracting  texture analysis  matrices
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