Literature DB >> 16423231

Color separation in forensic image processing.

Charles E H Berger1, Jan A de Koeijer, Wendy Glas, Henk T Madhuizen.   

Abstract

In forensic image processing, it is often important to be able to separate a feature from an interfering background or foreground, or to demonstrate colors within an image to be different from each other. In this study, a color deconvolution algorithm that could accomplish this task is described, and it is applied to color separation problems in document and fingerprint examination. Subtle color differences (sometimes invisible to the naked eye) are found to be sufficient, which is demonstrated successfully for several cases where color differences were shown to exist, or where colors were removed from the foreground or background. The software is available for free in the form of an Adobe Photoshop-compatible plug-in.

Year:  2006        PMID: 16423231     DOI: 10.1111/j.1556-4029.2005.00020.x

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  3 in total

1.  Visualizing a plant defense and insect counterploy: alkaloid distribution in Lobelia leaves trenched by a plusiine caterpillar.

Authors:  Craig B Oppel; David E Dussourd; Umadevi Garimella
Journal:  J Chem Ecol       Date:  2009-05-26       Impact factor: 2.626

2.  [Analysis of histological datasets by signal processing methods].

Authors:  F Weichert; A Groh; A Shamaa; T Richards; S Awd; R Linder; C A Landes; M Wagner
Journal:  Pathologe       Date:  2008-11       Impact factor: 1.011

3.  Robust image registration of biological microscopic images.

Authors:  Ching-Wei Wang; Shuk-Man Ka; Ann Chen
Journal:  Sci Rep       Date:  2014-08-13       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.