应用图像关联度的图像模糊分类
Application of Image Correlation Degree to Image Fuzzy Classification
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摘要: 提出了应用图像关联度的图像模糊分类新方法。该方法在求得每幅图像相对各个类别的关联度的基础上,求得每个类别图像关联度的均值和标准差σ;然后计算每幅图像的关联度与所在类别关联度均值之差Δi,差值Δi≤2σ,该图像应“留“在该类中;否则,该图像应归入与另两个类别的关联度较大的类别。每幅图像都经过这样的检验,实现图像的再划分,直到这一过程稳定为止。实验结果表明,该方法的图像分类质量有一定优势。Abstract: We propose a new image fuzzy classification method which based on the image relational de-gree.The correlation degree basis points are obtained in each category,and the mean and standarddeviationσof relational degree are calculated for each category.Then the correlation degree for eachimage and the mean difference of correlation degree for each categoryΔi are calculated.IfΔi≤2σ,theimage should“stay”in the class,otherwise,the image should be associated with a greater correlationdegree of the other two categories.Each image should have such inspection to achieve image re-divi-sion until the process is stable.Comparison results show that the quality of the quality of the imageclassification method has certain advantages.
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