最后综合利用上述网格区域的颜色直方图和纹理直方图来计算图像间内容的相似度，用于进行彩色图像检索。
Finally, the similarity between color images is computed by using a combined feature index based on the color histogram and texture histogram for local grids.
论文阐述了一种基于在线学习算法的彩色图像区域增长法，用于解决基于内容的图像检索系统。
This paper presents a color images region growing method based on online learning algorithm, which is used for content-based image retrieval systems.
本文也给出相应GCSSD的匹配算法，将其应用于彩色图像花的检索，实验结果表明其性能明显优于CSSD。
A relevant matching algorithm for GCSSD is used in flower retrieval. Experimental results show that GESSD performance is obviously better than that of CSSD.
应用推荐