Infrared imaging fuze is invulnerable to the electromagnetic interference, and it has the ability to recognize the local
image of the target. At present, the infrared imaging fuze technology has become one of the key technologies which
perform the target detection and the ignition of the warhead in the complex tactical environment. According to the
scanning mechanism of the infrared imaging fuze, based on the analysis of features of the infrared image of tank target,
this paper presents a feature extraction method based on knowledge to recognize infrared gray image. The geometric
features and gray level features are extracted. The geometric features include the corner features and angular features.
The corners of the image are extracted through the SUSAN corner detection principle,the angular feature is extracted by
Freeman chain code. The hot-zone gray feature is extracted by the template matching and image binarization principle.
In order to realize real-time recognition, this paper uses FPGA technology to achieve recognition circuit. The
experiments show that the recognition method has a certain anti-interference ability.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.