提出一种新的彩色图像分割方法，将图像分割成具有明显视觉一致性的区域，这种一致性能够模拟人观察图像时的视觉感受，例如图像中的一片区域具有相同的颜色、纹理。对这样的一致性区域建立特征描述符，如颜色编码、连通系数、面积比例，其中颜色编码是通过将像素在HSI颜色空间中量化得到，进而为整幅图像建立特征描述；然后将这种特征描述用于图像的检索。实验结果表明，这种方法不仅能够很好地模拟图像所带给人的视觉感受，而且对具有视觉一致性的图像检索效果也有很好的表现。

In this paper, firstly a new method for color image segmentation is proposed. The segmentation algorithm can segment an image into several regions with high visual consistency. The segmented results can simulate the feelings of human observing images, like an image have several regions with same colors or texture. After obtaining consistent regions, some image region properties like color coding, connectivity coefficient, and area ratio are then extracted as descriptors which can be used for content-based image retrieval. The color coding was obtained by quantification the pixels in the HSI color space. The experimental results shows that the proposed method can not only capture the visual impression of an image, but also have a good performance in image retrieval.