摘要
纹理特征是图像分析的重要线索 ,纹理分析方法可以分为统计方法和结构方法 ,两者各有优劣 .结合统计分析方法和结构分析方法两个方面的优点 ,提出了一种线状纹理的属性关系图 (attributed relational graphs,ARG)描述方法 ,用属性关系图来描述图像纹理 ,并应用于图像检索中 .属性关系图描述方法用图的结构直观地描述了图像的特征 ,具有很强的表达能力 .提取直线段作为线状纹理的基元 ,并引入了基元间具有平移、旋转和伸缩不变性的关系属性 ,使纹理图像的识别和检索具有好的抗噪声能力 .实验证明该方法取得了令人满意的识别和检索效果 .
Texture character is an important clue of image analysis. There are two categories of texture analysis techniques-statistical methods and structural methods, both of which have their own advantages. Based on the two kinds of methods, a novel method is proposed, which describes linear image texture through a kind of ARG (attributed relational graphs), and applies this technique into image retrieval. Because the image's characteristics are presented intuitively through the structure of graph, this method has excellent texture description ability. Furthermore, straight-line segment is extracted as texture primitive. Three geometrical position attributes, which are invariant to changes of scale, rotation and translation between texture primitives, are put forward. Therefore the image recognition and retrieval applications of this method possess excellent anti-noise ability. Practical experiments show that the performance of the new approach is satisfying.
出处
《计算机研究与发展》
EI
CSCD
北大核心
2002年第9期1076-1081,共6页
Journal of Computer Research and Development
基金
河南省教育厅科学研究项目基金资助 ( 2 0 0 0 12 0 0 10 )
关键词
线状纹理
属性关系图
图像检索
图像分析
纹理特征
图匹配
计算机视觉
texture analysis, texture based image retrieval, attributed relational graphs, graph matching, image retrieval of sole pattern
