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  1. 学術雑誌論文
  2. 5 技術(工学)

A Comparative Study of Vector and Raster Spatial Data for Image Segmentation Focusing on the Position Estimation Accuracy of Vertices to Form Polygonal Shapes

http://hdl.handle.net/10228/0002000626
http://hdl.handle.net/10228/0002000626
228a1e8a-5eb7-49d2-a2e2-9cd400555169
名前 / ファイル ライセンス アクション
10430470.pdf 10430470.pdf (459 KB)
アイテムタイプ 学術雑誌論文 = Journal Article(1)
公開日 2024-05-13
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
タイトル
タイトル A Comparative Study of Vector and Raster Spatial Data for Image Segmentation Focusing on the Position Estimation Accuracy of Vertices to Form Polygonal Shapes
言語 en
その他のタイトル
その他のタイトル A COMPARATIVE STUDY OF VECTOR AND RASTER SPATIAL DATA FOR IMAGE SEGMENTATION FOCUSING ON THE POSITION ESTIMATION ACCURACY OF VERTICES TO FORM POLYGONAL SHAPES
言語 en
言語
言語 eng
著者 Altaweel, Ahmad

× Altaweel, Ahmad

en Altaweel, Ahmad

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Almassri, Ahmad

× Almassri, Ahmad

en Almassri, Ahmad

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Purev, Amarbold

× Purev, Amarbold

en Purev, Amarbold

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我妻, 広明

× 我妻, 広明

WEKO 30799
e-Rad 60392180
Scopus著者ID 6603005439
九工大研究者情報 358

en Wagatsuma, Hiroaki

ja 我妻, 広明


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抄録
内容記述タイプ Abstract
内容記述 In the field of image processing, raster data is frequently used for image segmentation and shape estimations for general purposes. On the other hand, in the medical field, which aims to help doctors in surgical operations, semi-automatic robotic manipulations such as the da Vinci Surgical Systemto minimize the necessary area to open for the living body. In the present study, a computational geometry-based method was proposed for vector data to treat the rearrangement of extracted points as candidates for edges of the target shape. On the other hand, the Harris-Stephens algorithm was introduced as a well-known method to detect vertices to form polygonal shapes in raster data as the counterpart in the comparative study. Typically, such a raster data method is not robust to perform in noisy conditions without appropriate filtering in the pre-processing. In the Harris-Stephens algorithm, the adding noises were detected as new vertices to form shapes in the area, which is inevitable in the condition without any semantic information about the shape. Since the proposed computational geometry-based method contains geometrical properties in its computation, it can be enhanced to be robust against noisy data. In the sense of designing a part of the system to be a surgical robot, which requires high accuracy of the position estimation of the target, a maximization of extractions of geometrical properties provides a significant benefit for accurate manipulation of robotic arms. It contributes not only to surgical robots but also to the solver of 2D replacement puzzles known as tangram puzzles to be a general scheme for robots in all fields behaving in dynamic environments.
言語 en
書誌情報 en : International Journal of Engineering Advanced Research

巻 4, 号 3, p. 25-34, 発行日 2022-09-07
出版社
出版者 Academia Industry Networks
言語 en
URI
識別子タイプ URI
関連識別子 https://myjms.mohe.gov.my/index.php/ijear/article/view/19533
ISSN
収録物識別子タイプ EISSN
収録物識別子 2710-7167
著作権関連情報
権利情報 Copyright (c) 2022 ACADEMIA INDUSTRY NETWORKS. All rights reserved.
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/358_ja.html
論文ID(連携)
値 10430470
連携ID
値 12241
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