内容紹介

Many 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.

詳細情報

刊年

2023

形態

電子化映像資料(1時間29分34秒)

シリーズ名

情報科学領域・コロキアム ; 2023年度

注記

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）

標題言語

英語 (eng)

本文言語

英語 (eng)

著者情報

剣持, 雪子 (ケンモチ, ユキコ)