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Automatic estimation of a scale resolution in forensic images
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Lunds Universitet, SWE.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2018 (English)In: Forensic Science International, ISSN 0379-0738, E-ISSN 1872-6283, Vol. 283, p. 58-71Article in journal (Refereed) Published
Abstract [en]

This paper proposes a new method for an automatic detection of a resolution of a scale or a ruler with graduation marks in the shoeprint images. The method creates a vector of the correlations estimated from the co-occurrence matrices for every row in a shoeprint image. The scale resolution is estimated from maxima in Fourier spectrum of the correlations’ vectors. The proposed method is evaluated on over 500 images taken at crime scenes and in a forensics laboratory. The experimental results indicate the possibility of applying the proposed method to automatically estimate the scale resolution in forensic images. The automatic detection of a scale resolution could be used to automatically rescale a forensic image before the printing this image in “one-to-one” scale. Furthermore, the proposed method could be used to automatically rescale images to an equal scale thus allowing to compare the images digitally. © 2017 Elsevier B.V.

Place, publisher, year, edition, pages
Elsevier Ireland Ltd , 2018. Vol. 283, p. 58-71
Keywords [en]
Gray level co-occurrence matrix, Near regular texture, Scale resolution estimation, Shoeprint image, Texture pattern periodicity
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-15713DOI: 10.1016/j.forsciint.2017.12.007ISI: 000424296400013OAI: oai:DiVA.org:bth-15713DiVA, id: diva2:1170618
Available from: 2018-01-04 Created: 2018-01-04 Last updated: 2018-02-22Bibliographically approved

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Gertsovich, IrinaStröm Bartunek, JosefClaesson, Ingvar

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