texture feature extraction的意思|示意

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。

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。

Then, land cover classification and residential areas extraction with combined texture feature was proposed by the sufficient analysis of the texture feature with different image window.

然后在充分分析影像不同窗口纹理特征的基础上，提出应用组合纹理特征进行土地覆盖分类和居民地信息提取方法。

Accordingly, we propose an improved feature extraction scheme, adopting the tone of filtered image combined with the texture features based on the GLCM of unfiltered image to form the feature vector.

针对这种情况，提出了一种改进的特征提取方法，将基于原图像的灰度级共生矩阵提取的纹理特征与滤波后图像的灰度特征进行组合用于分类。

This paper proposes a fast algorithm for texture feature extraction. The new algorithm is suitable for remote image classification on line.

给出一种抽取纹理特征的算法，该算法实时性强，适于在线遥感图像分类。

A new texture feature extraction method using Local Walsh Transform (LWT) is presented. The definition of LWT is given. The statistical properties of LWT coefficients are analyzed.

介绍了一种利用局部沃尔什变换(LWT)提取图像纹理特征的新方法，给出lwt的定义，并分析了LWT系数的统计特性及其各阶矩的纹理鉴别性能。