A solution for eigen fuzzy sets of adjoint max-min composition and its application to image analysis

H. Nobuhara, K. Hirota
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引用次数: 13

Abstract

As a principal component analysis of the images based on an ordered structure, the greatest eigen fuzzy set (GEFS) and the smallest eigen fuzzy set (SEFS) of max-min composition and adjoint one, are proposed. In the case of the proposed method, an original image is regarded as a fuzzy relation by intensity normalization, and the GEFS and the SEFS are obtained as the transitive closure of the fuzzy relation. Through experiments using 91 test images extracted from 'view sphere database', it is confirmed that the GEFS and SEFS are obtained during 10 iterations, under the condition that the size of the original image is 256 x 256 pixels.
伴随极大极小组合特征模糊集的求解及其在图像分析中的应用
作为一种基于有序结构的图像主成分分析方法,提出了最大-最小特征模糊集(GEFS)和最大-最小特征模糊集(SEFS)及其伴随特征模糊集。该方法通过强度归一化将原始图像视为模糊关系,得到GEFS和SEFS作为模糊关系的传递闭包。通过对从“view sphere database”中提取的91幅测试图像进行实验,证实在原始图像大小为256 × 256像素的条件下,经过10次迭代得到了GEFS和SEFS。
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