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QUANTIZATION METHOD AND IMAGE RETRIEVAL BASED ON RGB AND HSV COLOR MODEL

机译:基于RGB和HSV颜色模型的量化方法与图像检索。

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摘要

In order to quantize reasonably the color model space and to solve the reduction of dimension of color histogram, the improved algorithm of quantization based on the both RGB and HSV color models is proposed in this paper. The algorithm can remove the repetitious vectors of compost in quantization process. While quantizing evenly model space, we can bring the compression of quantization dimension into full play and guarantee not to lose the basic color of image histogram. The experimental results show that this algorithm can improve the retrieval speed and precision of system by a relatively big margin.
机译:为了合理地量化色彩模型空间并解决色彩直方图维数的减少,提出了一种基于RGB和HSV色彩模型的改进量化算法。该算法可以去除量化过程中堆肥的重复矢量。在对模型空间进行均匀量化的同时,我们可以充分发挥量化维数的压缩作用,并保证不会丢失图像直方图的基本颜色。实验结果表明,该算法可以较大幅度提高系统的检索速度和精度。

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