在直 方图检索算法上，具代表性的有由Swain和Ballad提出的基于直方图相交（Histogram Intersection）的色彩索引算法，以及后来为了解决直方图数据量依然过大的问题而提出的 基于参考颜色表的直方图压缩算法。
基于52个网页-相关网页
Finally, the wavelet packet histogram is computed as feature signatures and histogram intersection distance is employed to retrieval queried image from image databases.
最后，抽取小波包直方图作为特征表示并应用直方图相交距离从图像数据库中检索被查询图像。
Introduces color feature extraction and matching algorithms in content-based image retrieval, such as weighted Euclidean-distance, weighted centre distance, histogram intersection algorithm, etc.
介绍了基于内容图像检索中多种颜色的特征提取和匹配算法，以及加权欧几里得距离、中心距的加权距离、直方图交集算法等。
It is easy to perform for traditional image retrieval based on color histogram, however, its calculation in color histogram intersection is too large and the space distribution information is lost.
传统的基于颜色直方图特征的图象检索方法简单且易于实现，但其直方图求交运算量过大，而且丢失了颜色的空间分布信息。
应用推荐