Image retrieval based on information entropy and block color moment
WU Huinin · Journal of Yangzhou University · 2014
This paper proposes an image retrieval method based on information entropy and segment color moment.It selects the non-equal fuzzy quantification to quantize HSV color space.And the improved information entropy is used to describe the global color feature of an image.It adopts the thought of overlapping blocks,calculates color moment of each sub-block to reflect the local color feature of an image,and uses the data structure technique of circular queue to make the fixed block rotation-invariant.Euclidean distance with weights is used to calculate the similarity of images.The experimental results show that this method has a high retrieval performance.