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@article{199267,
        author = {Deepak S and Rajesh Kannan and Aswanth K},
        title = {RGB IMAGE ANALYSIS OF BLOODSTAINS ON FABRICS SUBJECTED TO DIFFERENT WASHING METHODS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {13978-13981},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199267},
        abstract = {Bloodstain evidence plays a crucial role in forensic investigations, providing vital information about violent crimes, victim interactions, and attempts to conceal evidence. One of the common methods used by offenders to destroy such evidence is washing bloodstained fabrics. However, traces of blood often persist despite repeated washing. This study focuses on the application of RGB (Red-Green-Blue) image analysis as a non-destructive digital technique to examine bloodstains on different fabrics subjected to various washing methods. Fabrics including cotton, silk, wool, denim, and polyester were selected due to their widespread use in clothing and their varied physical properties. Bloodstains were applied to these fabrics and subjected to repeated hand- and machine-washing cycles. Digital images of the stains were captured under controlled lighting conditions, and RGB values were extracted using image processing software. The study revealed that bloodstains exhibit higher intensity in the red channel, which gradually decreases with successive washing cycles, indicating partial removal. Variations in stain persistence were observed across fabric types due to differences in absorbency and texture. The findings demonstrate that RGB analysis is an effective, economical, and reliable method for detecting and analysing bloodstains, even after washing, thereby enhancing forensic investigation techniques.},
        keywords = {RGB Colour Model, Bloodstain Detection, Fabric Analysis, Digital Image Processing.},
        month = {April},
        }