Image retrieval based on color-spatial histograms

Shan Zeng, Jun Bai, Rui Huang
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引用次数: 4

Abstract

A novel image retrieval method using color-spatial histograms is presented in this paper. The new method contains three phases. First, we quantize the color space by Gaussian mixture model. Second, the color-spatial histograms generated for both the query image and the images in the database based on the quantized color components and the improved spatiogram method. Finally, using color-spatial histogram as features, we compare the query image with images in the database by Jensen-Shannon divergence. Our proposed method's availability is demonstrated by the experimental assessment on the COREL image database.
基于颜色空间直方图的图像检索
提出了一种基于颜色空间直方图的图像检索方法。新方法包括三个阶段。首先,采用高斯混合模型对色彩空间进行量化。其次,基于量化的颜色分量和改进的空间图方法对查询图像和数据库图像生成颜色空间直方图。最后,以颜色-空间直方图为特征,利用Jensen-Shannon散度将查询图像与数据库中的图像进行比较。通过对COREL图像数据库的实验评估,验证了该方法的有效性。
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