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

映像情報メディア学会誌 Volume 55 Issue 4 Page 571-582 published_at 2001-04
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Title ( jpn )
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
Title ( eng )
A method for extracting an object by segmentation based on general information between regions
Creator
Yamamura Tsuyoshi
Ohnishi Noboru
Source Title
映像情報メディア学会誌
Volume 55
Issue 4
Start Page 571
End Page 582
Abstract
We propose a method for segmenting a color image and extracting a region of object in a scene using information which is not specific to a target object but common to a projection of an object in a space. The proposed method is based on split-and-merge, and at first an image is segmented into small regions by clustering of colors. Then the regions are merged with four features of information about configuration, connection and area ratio between two adjacent regions. This merging enables us to extract an object as one region even if the surface of the object is textured with a variety of reflectances; this isn't considered by conventional segmentation methods. We show the algorithm of segmentation and extraction, and demonstrate experimental results and comparisons with some other methods.
Keywords
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
NDC
Electrical engineering [ 540 ]
Language
jpn
Resource Type journal article
Publisher
映像情報メディア学会
Date of Issued 2001-04
Rights
Copyright (c) 2001 映像情報メディア学会
Publish Type Version of Record
Access Rights open access
Source Identifier
[NCID] AN10588970
[ISSN] 1342-6907