基于颜色和基元特征的图像检索

为了有效地提高图像检索性能，提出一种基于基元特征和颜色特征相结合的图像检索方法。检测彩色图像的边缘梯度，对其进行变换获得基元图像。以基元图像的重心为基准点计算各点到重心的距离，求得基元重心距离直方图。对基元图像中的每一个基元在4个不同方向投影，求得基元投影直方图。将彩色图像在RGB空间量化到64色颜色空间，得到彩色图像的颜色直方图。利用以上3个直方图描述图像特征，并用于图像检索。实验结果表明，该算法的查全率和查准率均有较大提高。

Image retrieval based on color and motif characteristics

In order to improve image retrieval performance, this paper proposed a new image retrieval algorithm based on motif and color features. The color image edge gradient was detected, and by means of edge gradient image transform, a motif image was obtained. Adopting the gravity center of motif image as the datum point, the distances of all points were calculated to the datum point to get the motif center distance histogram. The all motifs of the motif image were projected in four different directions to get motif projective histogram. Color image was uniformly quantized into 64-color space from RGB space to obtain the color histogram. The above three histograms described image features for image retrieval. The experimental results show that the algorithm has high precision and recall.