基于颜色特征与LBP的图像检索算法研究

An Image Retrieval Algorithm Researching Based on Color Feature and Local Binary Pattern

随着图像数据量的不断丰富和人们需求的不断提高,基于内容的图像检索技术成为一个重要研究课题。本文研究了基于颜色相关图与LBP算法的图像检索算法,利用颜色相关图与LBP算法分别提取图像的颜色特征与纹理特征,实现了图像的检索,实验结果说明了算法的有效性。

The content - based image retrieval technology is becoming an important research topic as the image information is more and more rich. This paper presents two image retrieval algorithms based on color auto - correlogram and LBP（ Local Binary Pattern）. Color feature and texture feature are extracted using auto - correlogram and LB Prespectively. We compare the performance of precision of the two algorithms and compare the performance of precision of the algorithm - 1 with that of other article. The experiments illustrate that the algorithm - 1 is more efficient.