文章基本信息

标题：領域分割のための結合特異値分解による多重画像からの部分画像の選択
本地全文：下载
作者：平岡透 ; 浦浜喜一
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2012
卷号：66
期号：9
页码：J322-J325
DOI：10.3169/itej.66.J322
出版社：The Institute of Image Information and Television Engineers
摘要：Pixel clustering is a basic process in image segmentation for classifying various regions in an image. However, this clustering becomes complex for multispectral and hyperspectral images due to the high dimensionality of these images. For such cases, dimensionality reduction is usually used to remove component images unsuitable for pixel clustering, in order to reduce computaional cost and improves accuracy. We propose a simple dimensionality reduction method in which a subset of component images is selected from multiple images using the joint singular value decomposition. Results of experiments for LandsatTM multispectral images demonstrate the effectiveness of the proposed method. Segmentation using a subimage chosen by the proposed enables us to avoid mixture of inappropriate component images and improve the performance of the segmentation.
关键词：結合特異値分解;多重画像;部分画像;領域分割