Australian Security and Intelligence Conference

Document Type

Conference Proceeding

Publisher

Security Research Centre, School of Computer and Security Science, Edith Cowan University

Place of Publication

Perth, Western Australia

Editor(s)

David Michael Cook

Comments

Li, D. (2009). Firearm forensics based on ballistics cartridge case image segmentation using colour invariants. In D. M. Cook (Ed.)., Proceedings of the 2nd Australian Security and Intelligence Conference, Kings Hotel, Perth, Western Australia, 1-3 December, 2009. (pp. 55-63).

Abstract

Ballistics firearm identification based on image processing is of paramount importance in criminal investigation. The efficiency of traditional ballistics imaging system is heavily dependent upon the expertise and experience of end-user. An intelligent ballistics imaging system is highly demanded to address this issues. The segmentation of cartridge case object from the original image is a key step to subsequent process. It is very difficult to segment cartridge case from the original image using traditional threshold based methods due to the shadows or unlimited environments to acquire image. In this paper, we proposed a novel approach based upon the colour invariant and geometrical shape of objects. The experimental results show the proposed method can precisely segment the objects in various images such as heavy shadow, low contrast, uneven illumination etc.

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