Abstract
This paper presents an algorithm for ellipse detection on stains of blood, which is directly suited for the needs of forensic analysis. The algorithm is of the edge-analyzing type. It performs convexity detection and is able to split contours of overlapping ellipses by concave regions analysis. A filtering is applied to the fit ellipses to reduce the results only to those results necessary for blood drop trajectory tracing. Results for running time and fitting quality tests performed on real-life and artificial data are presented. The solution answers to both quality and running time expectations of the field of application.
Keywords
Cite this article
@article{cai-3424,
author = {Tomasz Wójtowicz and Dariusz Bułka},
title = {Ellipse Detection in Forensic Blood Stain Images Analysis},
journal = {Computing and Informatics},
volume = {37},
number = {1},
pages = {213--228},
year = {2018},
issn = {1335-9150},
doi = {10.4149/cai_2018_1_213}
}
TY - JOUR AU - Tomasz Wójtowicz AU - Dariusz Bułka TI - Ellipse Detection in Forensic Blood Stain Images Analysis JO - Computing and Informatics VL - 37 IS - 1 SP - 213 EP - 228 PY - 2018 SN - 1335-9150 DO - 10.4149/cai_2018_1_213 UR - https://doi.org/10.4149/cai_2018_1_213 KW - Ellipse detection KW - ellipse fitting KW - edge analysis KW - contour segmentation KW - blood stain KW - forensic analysis ER -
Wójtowicz, T., & Bułka, D. (2018). Ellipse Detection in Forensic Blood Stain Images Analysis. Computing and Informatics, 37(1), 213–228. https://doi.org/10.4149/cai_2018_1_213