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A Method for Detecting Boundary Edges Based on a Local Image-Feature Integration Method
https://bunkyo.repo.nii.ac.jp/records/3190
https://bunkyo.repo.nii.ac.jp/records/3190069f24d9-4494-4845-bf58-1e6d46fd41b0
名前 / ファイル | ライセンス | アクション |
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BKSJ440003.pdf (905.6 kB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2011-02-16 | |||||
タイトル | ||||||
タイトル | A Method for Detecting Boundary Edges Based on a Local Image-Feature Integration Method | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題 | Region boundary | |||||
キーワード | ||||||
主題 | Boundary detection | |||||
キーワード | ||||||
主題 | Contour detection | |||||
キーワード | ||||||
主題 | Edge detection | |||||
キーワード | ||||||
主題 | Edge saliency | |||||
キーワード | ||||||
主題 | Canny | |||||
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 | departmental bulletin paper | |||||
著者 |
Shimodaira, Hisashi
× Shimodaira, Hisashi |
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所属機関 | ||||||
文教大学情報学部 | ||||||
所属機関 | ||||||
Bunkyo University Faculty of Information and Communications | ||||||
内容記述 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In an image, boundaries between regions represent the shapes of objects in the scene. Finding the boundaries is a problem of fundamental importance in the area of computer vision such as object recognition whose accuracy depends on the quality of the estimates of the boundaries. This paper proposes a method for detecting boundary edges based on a local image-feature integration method using a modified Canny edge detector. In the proposed method, first by edge saliency indices , salient edge are selected from the output of the modified Canny edge detector. Next , by boundary likelihood indices, edges with high boundary likelihood are selected from the salient edges. The major features of our method are as follows ; the algorithm is simple and easy to implement ; the computational complexity is not so high ; the paramater values once tuned for several images can be used in common for other images ; the good thresholds for selecting boundary edges are automatically computed. We have performed experiments on various natural images. The results have shown that our method works effectively and can produce relatively good estimates of boundary edges and its performance is robust. | |||||
書誌情報 |
情報研究 en : Information and Communication Studies 巻 44, p. 15-40, 発行日 2011-01-01 |
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ISSN | ||||||
収録物識別子 | 03893367 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
本文言語 | ||||||
英語 | ||||||
ID | ||||||
BKSJ440003 | ||||||
作成日 | ||||||
日付 | 2011-01-25 |