According to the color spatial feature of an image, a new algorithm based on entropy is proposed.
针对图像颜色的空间分布特征,提出了一种新的基于熵的表示方法。
Traditionally image retrieval mainly relies on single feature such as color, texture, shape and spatial relationship, etc., so the result is usually not so good.
传统的基于内容的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征,检索效果往往不够理想。
And the image feature descriptor has a rotation, translation, scaling invariance, etc. it can be a very good to describe the shape and spatial distribution of information.
且获得的图像特征描述符具有旋转、平移、尺度不变性等优点,能够很好地描述图像的形状和空间分布信息。
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