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。
The image result is more accurate than that of LBP algorithm and similar to that of iterative algorithm. So this new method is a real-time and more accurate reconstruction algorithm.
该算法重建图像所用的时间与LBP算法相当，而重建图像的质量与迭代算法相近，是一种精度较高的实时重建算法。
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。
The algorithm based on LBP and direct linear discriminant analysis have distinct advance than the extraction algorithm using the original image in recognition rate.
采用LBP算法与直接线性判别分析算法相结合的人耳特征提取方法在识别率方面与原始图像特征提取方法相比有明显提升。
The algorithm based on LBP and direct linear discriminant analysis have distinct advance than the extraction algorithm using the original image in recognition rate.
采用LBP算法与直接线性判别分析算法相结合的人耳特征提取方法在识别率方面与原始图像特征提取方法相比有明显提升。
应用推荐