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dc.creatorLazović, Goran
dc.creatorMitić, Vojislav V.
dc.creatorRadosavljević Mihajlović, Ana
dc.creatorSimeunović, Dragan
dc.date.accessioned2018-10-31T11:00:13Z
dc.date.available2018-10-31T11:00:13Z
dc.date.issued2018
dc.identifier.isbn978-86-915627-6-2
dc.identifier.urihttps://dais.sanu.ac.rs/123456789/4085
dc.description.abstractThe forensic photography, also referred to as crime scene photography, is an activity that records the initial appearance of the crime scene and physical evidence, in order to provide a permanent record for the court. Now a day, we can imagine the crime scene investigation without photography evidence. Crime or accident scene photographs can often be re-analysed in cold cases or when the images need to be enlarged to show critical details. Fractals are rough or fragmented geometric shape that can be subdivided in parts, each of which is a reduced copy of the whole Fractal dimension (FD) is an important fractal geometry feature. There are many applications in various fields including image processing, image analysis, texture segmentation, shape classification and identifying the image features such as roughness and smoothness of an image. The damage image can be reviewed, analyzed and reconstructed by fractals.en
dc.language.isoensr
dc.publisherBelgrade : Serbian Ceramic Societysr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceProgram and the Book of Abstracts / Serbian Ceramic Society Conference Advanced Ceramics and Application VII : New Frontiers in Multifunctional Material Science and Processing, Serbia, Belgrade, 17-19 September 2018sr
dc.subjectforensic photographysr
dc.subjectfractalssr
dc.titleForensic Science and Fractal Nature Analysisen
dc.typeconferenceObjectsr
dc.rights.licenseBY-NC-NDsr
dcterms.abstractРадосављевић Михајловић, Aна; Симеуновић, Драган; Лазовић, Горан; Митић, Војислав В.;
dc.citation.spage52
dc.citation.epage52
dc.type.versionpublishedVersionsr
dc.identifier.fulltexthttps://dais.sanu.ac.rs/bitstream/id/12774/Lazovic-ACA-VII.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_dais_4085


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