Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Security Science
RAS ID
10333
Abstract
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.
DOI
10.1109/CISP.2010.5647685
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Huang, Z. , & Leng, J. (2010). A Novel Binarization Algorithm for Ballistics Imaging Systems. Proceedings of 2010 3rd International Congress on Image and Signal Processing (CISP 2010). (pp. 1287-1291). . Yantai, China. IEEE.
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