Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (25): 23-27.DOI: 10.3778/j.issn.1002-8331.2010.25.007

• 博士论坛 • Previous Articles     Next Articles

Measurement and application of image’s texture standard property

PAN Lu-lu,PENG Guo-hua,YE Zheng-lin,YAN Wei-dong,ZHENG Hong-chan   

  1. Department of Applied Mathematics,Northwestern Polytechnical University,Xi’an 710072,China
  • Received:2010-04-28 Revised:2010-07-14 Online:2010-09-01 Published:2010-09-01
  • Contact: PAN Lu-lu

图像的纹理标准性度量及其应用

潘璐璐,彭国华,叶正麟,延伟东,郑红婵   

  1. 西北工业大学 理学院 应用数学系,西安 710072
  • 通讯作者: 潘璐璐

Abstract: By analyzing the effect of sub-block parameters on speed and quality of texture synthesis,it has been found that a class of texture images which don’t depend on the parameters can obtain rapid and effective synthesis.This paper chooses mean gray value of sub-block as a measure,proposes a new algorithm to calculate the coefficient of texture standard property.According to a large number of statistical results,a criterion of distinction of strong standard textures and weak standard textures and general images has been given,and it is applied to texture synthesis.Large scale sub-block and zero search is used to synthesize strong standard textures.The results show that even compared to the global search methods,it can obtain rapid and effective results.

摘要: 通过分析纹理合成中子块参数对合成速度及质量的影响,发现对于一类纹理图像,不依赖于参数的选择即可快速高效地进行纹理合成。选择子块灰度平均值作为度量指标,根据纹理标准性强的图像应具有的特征,提出了一种新的计算图像纹理标准性系数的算法。结合大量计算结果,界定了一般图像、强标准性纹理以及弱标准性纹理的分类标准。并将其应用到纹理合成当中,对强标准性纹理图像的合成采用大尺度子块及零搜索的合成方法,提高了合成速度的同时保持合成质量不变。

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