000136204 001__ 136204 000136204 005__ 20250923084423.0 000136204 0247_ $$2doi$$a10.1016/j.patrec.2024.06.010 000136204 0248_ $$2sideral$$a139082 000136204 037__ $$aART-2024-139082 000136204 041__ $$aeng 000136204 100__ $$aDivasón, Jose 000136204 245__ $$aZigzag persistence for image processing: New software and applications 000136204 260__ $$c2024 000136204 5060_ $$aAccess copy available to the general public$$fUnrestricted 000136204 5203_ $$aTopological 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. 000136204 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-112673RB-I00$$9info:eu-repo/grantAgreement/ES/AEI/PID2020-116641GB-I00$$9info:eu-repo/grantAgreement/ES/DGA-FSE/A07_23R 000136204 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/ 000136204 590__ $$a3.3$$b2024 000136204 592__ $$a1.005$$b2024 000136204 591__ $$aCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE$$b93 / 204 = 0.456$$c2024$$dQ2$$eT2 000136204 593__ $$aComputer Vision and Pattern Recognition$$c2024$$dQ1 000136204 593__ $$aSoftware$$c2024$$dQ1 000136204 593__ $$aSignal Processing$$c2024$$dQ1 000136204 593__ $$aArtificial Intelligence$$c2024$$dQ2 000136204 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000136204 700__ $$aRomero, Ana 000136204 700__ $$0(orcid)0000-0001-8991-325X$$aSantolaria, Pilar$$uUniversidad de Zaragoza 000136204 700__ $$0(orcid)0000-0001-5316-1703$$aYániz, Jesús L.$$uUniversidad de Zaragoza 000136204 7102_ $$12008$$2700$$aUniversidad de Zaragoza$$bDpto. Produc.Animal Cienc.Ali.$$cÁrea Producción Animal 000136204 773__ $$g184 (2024), 111-118$$pPattern recogn. lett.$$tPATTERN RECOGNITION LETTERS$$x0167-8655 000136204 8564_ $$s1749149$$uhttps://zaguan.unizar.es/record/136204/files/texto_completo.pdf$$yVersión publicada 000136204 8564_ $$s2765870$$uhttps://zaguan.unizar.es/record/136204/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000136204 909CO $$ooai:zaguan.unizar.es:136204$$particulos$$pdriver 000136204 951__ $$a2025-09-22-14:37:20 000136204 980__ $$aARTICLE