文章基本信息

标题：対象物体に依存しない領域間の情報に基づいた領域併合による物体抽出手法
本地全文：下载
作者：玉木徹 ; 山村毅 ; 大西昇等
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：2001
卷号：55
期号：4
页码：571-582
DOI：10.3169/itej.55.571
出版社：The Institute of Image Information and Television Engineers
摘要：We propose a method for segmenting a color image and extracting a region of an object in a scene by using information which is not specific to the target object but common to a projection of the object in a space. The proposed method is based on a split-and-merge technique. The image is initially segmented into small regions by clustering in color space. Then the regions are merged based on four features of information on the configuration, connection and area ratio of adjacent pairs of regions. This merging allows us to extract an object as a single region even if the surface of the object is textured with a variety of reflectances; this isn't considered by conventional segmentation methods. We give our algorithm for segmentation and extraction, demonstrate experimental results, and make comparisons with some other methods.
关键词：領域分割;物体抽出;分割併合法;物理的要因;光学的要因;k-平均法