The distribution of improved LBP texture is discussed and a significant test is performed to classify each moving pixel into foreground object or moving shadow according to this theory.
通过分析阴影的物理模型，得出局部纹理的光照不变性，利用基于比值判决的LBP纹理法来区分运动车辆和阴影，并应用亮度约束和几何启发式准则进一步改善阴影检测效果。
To avoid the influence of background, a method of image background remove is proposed, in this paper applying color histogram and LBP algorithm to extract color and texture features.
提出基于分割算法的图像背景去除技术，用于减少背景对提取特征的干扰；用颜色直方图、LBP算法来提取图像的颜色与纹理特征。
Local Binary Patterns (LBP) is defined as a gray-scale invariant texture measure.
局部二值模式(LBP)是一种灰度范围内的纹理描述方式。
The main research work includes: 1. In the aspect of object detection, an improved texture-based method using local binary patterns (LBP) for background subtraction is proposed.
本文的主要工作包括：1。在目标提取方面，提出了一种改进的使用局部二元图(lbp)的基于纹理的算法。
This algorithm constructed the texture image based on Local Binary Pattern (LBP), and then zero watermark information was constructed from the texture spectral histograms of the texture image.
该算法使用文档图像的局部二值模式(LBP)构造纹理谱图像，然后使用该纹理谱图像的直方图构造零水印信息。
This algorithm constructed the texture image based on Local Binary Pattern (LBP), and then zero watermark information was constructed from the texture spectral histograms of the texture image.
该算法使用文档图像的局部二值模式(LBP)构造纹理谱图像，然后使用该纹理谱图像的直方图构造零水印信息。
应用推荐