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hsv color model
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  hsv color model
Users of the HSV color model were the slowest in this experiment.
      
The HSV color model is known to satisfy this property.
      
This agent uses the HSV color model in combination with some statistical measures.
      
In our method, the HSV color model was chosen because of its compatibility with the human color perception.
      
As shown in Figure 4 using the L1 metric we obtained an improvement in retrieval accuracy by up to 8% when using the HSV color model.
      


The Snake algorithm uses the generalized gradient vector flow(GGVF) as the potential energy function and has a good performance when dealing with gray images.The conventional GGVF model cannot deal with the color image segmentation well,since the model is easily influenced by the false edge caused by the shadow.A new GGVF method based on HSV color model is proposed.It achieves the color image segmentation by using the color information.Experimental results show that the method...

The Snake algorithm uses the generalized gradient vector flow(GGVF) as the potential energy function and has a good performance when dealing with gray images.The conventional GGVF model cannot deal with the color image segmentation well,since the model is easily influenced by the false edge caused by the shadow.A new GGVF method based on HSV color model is proposed.It achieves the color image segmentation by using the color information.Experimental results show that the method can distinguish the real and the false edges,and obtain good segmentation results.

采用广义梯度矢量流(G enera lized grad ien t vector flow,GGVF)作为势能函数的Snake算法在处理灰度图像分割时具有较好的性能。但当处理彩色图像时,GGVF模型往往将彩色图像转化为灰度图像进行处理,此过程造成颜色信息丢失,因而容易受到阴影等伪边界灰度变化的干扰。本文提出了基于HSV颜色模型的GGVF,充分利用了图像的色彩信息进行图像分割。实验结果表明,该方法能够有效地区分彩色图像的真实边界与由阴影产生的伪边界,并取得较好的分割结果。

 
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