1·A novel image retrieval method based on color and texture feature is proposed.
提出了一种基于颜色和纹理特征的图像检索方法。
2·Local Fourier transform (LFT) is an important texture feature extracting method.
局部傅里叶变换(LFT)是一种重要的纹理特征提取方法。
3·Second, the no-vehicle regions are filtered by texture feature of AOI based on DBC.
然后，通过分形维数计算车辆的纹理特征，排除非车辆区域。
4·A novel iris recognition method based on multi-texture feature fusion is presented in the paper.
提出一种基于多纹理特征融合的新颖虹膜识别方法。
5·The description and extraction of SAR image texture feature is important to texture segmentation.
SAR图像纹理特征的描述和提取是纹理分割的关键。
6·On the basis of this, we proposed a new method which composes of color feature and texture feature.
在此基础上，提出了一种新的综合颜色和纹理的改进算法。
7·A valid texture feature analytical method is proposed to detect cloud in satellite remote sensing image.
针对卫星遥感图像中的云探测问题，提出了一种有效的纹理特征分析方法。
8·A nature scene image color-texture feature extraction method based on human visual system (HVS) was proposed.
提出了基于人类视觉系统的自然场景图像颜色和纹理特征提取方法。
9·Predicting tenderness score. We discussed the theory and the study of method of obtaining the texture feature.
嫩度分值评定讨论了目前提取图像纹理特征的理论和方法研究。
10·A novel image texture feature descriptor is proposed which is insensitive to Gaussian blur and Gaussian noise.
提出了一种对高斯模糊和高斯噪声鲁棒的图像纹理特征描述算子。