Subject: topological data analysis, persistent homology, image classification, computational topology

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Year: 2023

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Type: Proceeding article

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Title: Classification of digital images using topological signatures

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Author: Sekuloski, Petar
Author: Dimitrievska Ristovska, Vesna

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Abstract: Topological Data Analysis (TDA) is a new area of Applied Mathematics that has become increasingly popular in recent years. TDA utilizes Persistent Homology, a mathematical tool that analyzes the topology of data sets. The focus of this paper is on using Persistent Homology to extract topological signatures from digital images and investigate how these signatures can improve image classification. In this short paper there are some preliminary results obtained on real world digital image datasets. There are improvement in evaluation metrics from 19% to 37%, using topological signatures.

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Publisher: Ss Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia

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Relation: CIIT 2023 papers;33;

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Identifier: oai:repository.ukim.mk:20.500.12188/27408
Identifier: http://hdl.handle.net/20.500.12188/27408

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