图像区间模糊模型及其在图像检索中的应用

Interval-valued fuzzy model of image and its application to image retrieval

在HSV颜色空间下,通过非均匀量化方法,构建了图像区间模糊模型。在此模型下,图像可以看作是一个区间模糊集合(IVFS,interval-valued fuzzy set)。IVFS之间相似性度量可以用来衡量图像之间的相似程度。给出一种基于Lp范数距离的IVFS集合度量(简称IVFSLp)并将它应用于图像检索中。实验数据表明:IVF-SLp与直方图距离(histogram distance)和普通模糊集的相似性度量(general fuzzy similarity measure)相比具有更好的性能。

A new interval-valued fuzzy model for images based on the nonuniform color quantization in the HSV color space is proposed.The image can be treated as an interval-valued fuzzy set (IVFS) with this model.An interval-valued fuzzy similarity measure based on Lp distance is presented and used for real content-based image retrieval system.The various experimental results show that the proposed similarity measure is comparable to general fuzzy similarity measures and conventional histogram distances in the litera...