剣持雪子
生駒 : 奈良先端科学技術大学院大学, 2023.6
Lecture ArchiveMany digital image applications require extracting structural information from digital images and preserving/repairing those structures when images are treated. Here, we focus on topological information such as connected components, cavities and tunnels (in 3D). Digital topology and mathematical morphology have been involved in various studies on this subject, while persistent homology is recently used in various fields in order to study the shape and structure of data. In this talk, I will briefly present the three approaches with some comparative study in the context of image analysis and manipulation, and show their utility with some application examples.
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2023
電子化映像資料(1時間29分34秒)
情報科学領域・コロキアム ; 2023年度
講演者所属:Greyc Laboratory, University of Caen Normandy, and Ecole Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), France
講演日: 2023年6月8日 4限
講演場所: エーアイ大講義室, AI Inc. Seminar Hall （L1）
Japan
English (eng)
English (eng)
剣持, 雪子 (ケンモチ, ユキコ)
