In the texture features aspect, we introduce a retrieval algorithm based on the gray-difference primitive co-occurrence matrix. The methods imbibe the co-occurrence matrix’merit, and combine the texture primitive of structure analysis, so that the texture feature is much fine.
在纹理特征方面,提出了一种基于灰度-差分基元共生矩阵的检索算法,该方法既吸取了统计方法中共生矩阵的优点,又结合了结构分析方法中的纹理基元,使提取的纹理特征更加精细。
参考来源 - 基于颜色和纹理特征的图像检索研究In the end, multiple experimental results of this study prove that the three-dimensional surface texture editing thesis based on wavelet decomposition and texture element texton is effective.
通过多个实验纹理数据结果研究证明了本论文提出的基于小波分解和纹理基元的三维表面纹理编辑是有效的。
参考来源 - 基于小波分解和纹理基元的三维表面纹理编辑·2,447,543篇论文数据，部分数据来源于NoteExpress
在此基础上，采用一种改进的基于纹理基元的共生矩阵来获取纹理特征，并结合纹理基元的形状直方图来进行图像检索。
On the basis of which, an improved co-occurrence matrix and histogram are developed to extract the texture and shape features for the image retrieval.
把小波变换和ICA算法相结合，扩展ICA纹理基元的空间尺度描述能力，使其能准确分割有较大纹理结构的纹理图像。
In order to extend the spatial describing ability of ICA basis images, wavelet transform was combined with ICA, which make it be able to segment texture images with large textons.
然后通过对基元特征进行加权投影统计，得到图像的方向性、对比度等纹理特征，这些特征可以更好的适应人类视觉特性。
The texture features such as direction and contrast of the image can be obtained from weighted projection statistics of primitive feature, which are more matched with human vision.
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