Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

School of Computer & Security Science

RAS ID

10333

Comments

This article was originally published as: 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.

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.

 
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