基于SIFT特征和颜色融合的图像检索方法

Image retrieval technology based on SIFT feature and color fusion

根据图像检索方法中颜色直方图存在的问题,提出了一种改进的基于分块和主颜色的颜色直方图提取算法;根据SIFT特征存在的问题,提出了一种改进的基于harris角点的SIFT特征提取算法。最后运用两种改进算法提出了一种融合颜色直方图和SIFT特征的图像检索算法。实验结果表明,本算法在功能及性能上优于其他算法,并具很好的鲁棒性。

Based on the problem of color histogram,an improved color histogram extraction algorithm that based on the block and main color was proposed and an improved SIFT features extracted algorithm that based on the harris corner was proposed based on the problem of SIFT feature.Finally,a image retrieval algorithm that fused the improved color histogram extraction algorithm and improved SIFT feature extracted algorithm was proposed.The experiment shows that the algorithm is better on function and performance than any other algorithms,and it has good robustness.