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Published in:
2010 | OriginalPaper | Chapter
A Novel Binarization Algorithm for Ballistics Firearm Identification
Author : Dongguang Li
Published in: Innovations in Computing Sciences and Software Engineering
Publisher: Springer Netherlands
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The identification of ballistics specimens from imaging systems is of paramount importance in criminal investigation. Binarization plays a key role in preprocess of recognizing cartridges in the ballistic imaging systems. Unfortunately, it is very difficult to get the satisfactory binary image using existing binary algorithms. In this paper, we utilize the global and local thresholds to enhance the image binarization. Importantly, we present a novel criterion for effectively detecting edges in the images. Comprehensive experiments have been conducted over sample ballistic images. The empirical results demonstrate the proposed method can provide a better solution than existing binary algorithms.