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CORRELATION EXTRACTING METHOD OF IMAGE FEATURE AMOUNT BY IMAGE CATEGORIZATION AND CORRELATION EXTRACTING DEVICE THEREOF

机译:通过图像归类化的图像特征量的相关提取方法及其相关提取设备

摘要

PROBLEM TO BE SOLVED: To provide a correlation extraction method of image feature amount by image categorization and a device thereof capable of determining mechanically with high reliability an image even belonging to various categories.;SOLUTION: The invention extracts, in an image, a procedure which segments a first numeral group corresponding to the physical feature, a procedure which segments a second numeral group corresponding to the image's category feature, and the correlation relation between the first numeral group and the second numeral group, with respect to the main component obtained by main component analysis on the physical feature and the classification obtained by discrimination analysis on the main component and the category feature. And, for an image in a predetermined category, the invention extracts, in the image, a procedure which segments the first numeral group corresponding to the physical feature, a procedure which segments a second numeral group corresponding to the sensuous feature that sensitively describes the image's impression, and the correlation relation between the first numeral group and the second numeral group, by applying main component analysis on the physical feature and applying multiple regressive analysis on the category feature.;COPYRIGHT: (C)2003,JPO
机译:解决的问题:提供一种通过图像分类的图像特征量的相关提取方法及其装置,该设备能够以机械方式以高可靠性确定甚至属于各种类别的图像。解决方案:本发明在图像中提取过程相对于通过以下方法获得的主要成分,该步骤对与物理特征相对应的第一数字组进行分割;对与图像的类别特征相对应的第二数字组进行分割的过程;以及第一数字组与第二数字组之间的相关关系。通过对主要成分和类别特征的辨别分析获得的物理特征和分类的主要成分分析。并且,对于预定类别中的图像,本发明在图像中提取对与物理特征相对应的第一数字组进行分割的过程,对与敏感地描述图像的敏感特征的对立特征相对应的第二数字组进行分割的过程。通过对物理特征进行主成分分析并对类别特征进行多元回归分析,得出印象,以及第一数字组和第二数字组之间的相关关系。版权所有:(C)2003,JPO

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