[1]冯 霞,周 勃,崔卫红.不同对比度纹理结构特征的多粒度分解及描述[J].计算机技术与发展,2017,27(12):85-88.[doi:10.3969/ j. issn.1673-629X.2017.12.019]
　FENG Xia,ZHOU Bo,CUI Wei-hong.Multi-granularity Decomposition and Description of Texture Features with Different Contrast[J].Computer Technology and Development,2017,27(12):85-88.[doi:10.3969/ j. issn.1673-629X.2017.12.019]
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不同对比度纹理结构特征的多粒度分解及描述()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年12期
页码:
85-88
栏目:
智能、算法、系统工程
出版日期:
2017-12-10

文章信息/Info

Title:
Multi-granularity Decomposition and Description of Texture Features with Different Contrast
文章编号:
1673-629X(2017)12-0085-04
作者:
 冯 霞1 2 ; 周 勃2 3 ; 崔卫红2
1. 湖北省标准化与质量研究院,湖北 武汉 430061;
2. 武汉大学,湖北 武汉 430079;
3. 武汉市规划研究院,湖北 武汉 430014
Author(s):
 FENG Xia1 2 ; ZHOU Bo2 3 ; CUI Wei-hong2
1. Hubei Standardization and Quality Institution,Wuhan 430061,China;
2. Wuhan University,Wuhan 430079,China;
3. Wuhan Planning &Design Institute,Wuhan 430014,China
关键词:
纹理结构特征; 数学形态学; 开运算; 多粒度分解; 多粒度描述
Keywords:
texture structure feature; mathematical morphology; opening operation; multi-granularity decomposition; multi-granularity description
分类号:
TP301
DOI:
10.3969/ j. issn.1673-629X.2017.12.019
文献标志码:
A
摘要:
纹理是一种普遍存在的视觉现象,在图像处理、三维重建和模式识别中都具有非常重要的作用。 由于纹理具有多粒度特性,基于单一尺度的结构基元已经不足以准确地描述纹理特征,而在数学形态学运算中,利用不同大小的结构元素迭代进行形态学运算,可以获得不同粒度下的结构信息。 基于上述考虑,给出了一种基于形态学开运算的纹理结构的多粒度分解形式,并提出了一种整体对比度不同而结构相同的纹理结构特征的多粒度描述方法。 为了验证该方法的有效性,以 Brodatz 数据库和 MIT VisTex 数据库的20 幅纹理图像为实验数据,将提出的多粒度描述方法与基于灰度共生矩阵的纹理描述方法和基于 Gabor 滤波的纹理描述方法进行比较。 实验结果表明,该方法优于上述两种方法。
Abstract:
Texture is a kind of common visual phenomena,which plays a very important role in image processing,3D reconstruction and pattern recognition. Due to the multi-granularity characteristic of texture,structural primitives based on single size are not enough to describe texture features accurately. However,based on different size structural elements for iterative morphological operations in the mathematical morphology,the structure information with different granularity can be obtained. On this basis,a multi-granularity decomposition
of the texture structure based on morphological opening operation is put forward,and a multi-granularity description method of texture features with different overall contrasts and the same structure is proposed. In order to verify its effectiveness,with 20 texture images from Brodatz database and MIT VisTex database as experimental data,the proposed method is made a comparison with texture description method based on gray level co-occurrence matrix and based on Gabor filtering. The experiment shows that it is better than the other two
methods.

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更新日期/Last Update: 2018-03-06