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1·Color histogram is the most usually used method of content-based image retrieval.

颜色直方图法是基于内容的图像检索系统通常采用的方法。

2·One of short points of traditional color histogram is lack of spatial information .

传统的直方图一般不包括颜色的空间分布信息。

3·Based on the quantization of the color in HSV model, color histogram is introduced as the color feature.

在对HSV颜色模型量化处理的基础上，提取颜色直方图作为图像的颜色特征。

4·An algorithm that integrates gray scale gradient cue and color histogram cue to detect the human head is proposed.

提出了结合图像灰度梯度信息和彩色直方图信息的人头识别算法。

5·The existing color feature extraction methods include color histogram, accumulative color histogram, color moments.

传统的颜色特征提取方法主要包括颜色直方图、累积直方图、颜色矩等。

6·Using our method, the total color index information needs less storage space compared with the traditional color histogram.

使用该方法，总的颜色索引信息将比传统的颜色直方图节省存储空间。

7·First, take a brief introduction of the color model, color histogram and color probability distribution, and gives experimental results.

首先简单介绍了颜色模型、颜色直方图和颜色概率分布图，并给出实验结果。

8·The wood surface color characters of wood images after preprocessing are abstracted with the methods of color histogram and color matrix.

对预处理后的木材图像分别用颜色直方图法、颜色矩法提取了木材表面的颜色特征。

9·Spatiograms outperform the traditional color histogram, which contain color information and spatial layout of these colors for the target.

空间直方图融合了目标的颜色信息和颜色的空间分布信息，比传统的颜色直方图更具有目标鉴别能力。

10·Content based image retrieval techniques usually use the color histogram of the full image. But this method can't contain the spatial features.

基于内容的图象检索技术一般采用颜色直方图为特征，但是这种方法不能反映空间特性。