doi:10.1016/j.patrec.2024.06.010engDivasón, JoseRomero, AnaSantolaria, PilarYániz, Jesús L.Zigzag persistence for image processing: New software and applicationsART-2024-139082Topological image analysis is a powerful tool for understanding the structure and topology of images, being persistent homology one of its most popular methods. However, persistent homology requires a chain of inclusions of topological spaces, which can be challenging for digital images. In this article, we explore the use of zigzag persistence, a recent variant of traditional persistence, for digital image processing. To this end, new algorithms are developed to build a simplicial complex associated to a digital image and to compute the relationships between homology classes of a sequence of binary images via zigzag persistence. Additionally, we provide a simple software to use them. We demonstrate its effectiveness by applying it to a real-world problem of analyzing honey bee sperm videos.2024http://zaguan.unizar.es/record/13620410.1016/j.patrec.2024.06.010http://zaguan.unizar.es/record/136204oai:zaguan.unizar.es:136204info:eu-repo/grantAgreement/ES/AEI/PID2020-112673RB-I00info:eu-repo/grantAgreement/ES/AEI/PID2020-116641GB-I00info:eu-repo/grantAgreement/ES/DGA-FSE/A07_23RPATTERN RECOGNITION LETTERS 184 (2024), 111-118by-nchttps://creativecommons.org/licenses/by-nc/4.0/deed.esinfo:eu-repo/semantics/openAccess