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Miguel Turullols, Laura de

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https://academica-e.unavarra.es/handle/2454/49579

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Miguel Turullols

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Laura de

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Estadƭstica, InformƔtica y MatemƔticas

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ISC. Institute of Smart Cities

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0000-0002-7665-2801

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810922

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Author: Mesiar, Radko Ɨ Author: Miguel Turullols, Laura de Ɨ Author: Sesma Sara, Mikel Ɨ Subject: Defect detection Ɨ

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    PublicationOpen Access
    New measures for comparing matrices and their application to image processing
    (Elsevier, 2018) Sesma Sara, Mikel; Miguel Turullols, Laura de; Pagola Barrio, Miguel; Burusco Juandeaburre, Ana; Mesiar, Radko; Bustince Sola, Humberto; Automatika eta Konputazioa; Institute of Smart Cities - ISC; AutomĆ”tica y ComputaciĆ³n; Universidad PĆŗblica de Navarra / Nafarroako Unibertsitate Publikoa
    In this work we present the class of matrix resemblance functions, i.e., functions that measure the difference between two matrices. We present two construction methods and study the properties that matrix resemblance functions satisfy, which suggest that this class of functions is an appropriate tool for comparing images. Hence, we present a comparison method for grayscale images whose result is a new image, which enables to locate the areas where both images are equally similar or dissimilar. Additionally, we propose some applications in which this comparison method can be used, such as defect detection in industrial manufacturing processes and video motion detection and object tracking.