Segmentation And Classification Of Targets In Fur Imagery

O. Robert Mitchell; Stephen M. Lutton

doi:10.1117/12.956734

9 January 1979 Segmentation And Classification Of Targets In Flir Imagery

O. Robert Mitchell, Stephen M. Lutton

Proceedings Volume 0155, Image Understanding Systems and Industrial Applications I; (1979) https://doi.org/10.1117/12.956734
Event: 22nd Annual Technical Symposium, 1978, San Diego, United States

Abstract

An approach is described for detecting and classifying tactical targets in FLIR imagery. The basic assumption used for segmenting objects from their background is that the objects to be detected differ from the background in grey level, edge, properties, or texture. Potential targets are selected from a large frame, by locating combinations of grey level, edge, value, and texture that occur infrequently over the entire frame. Once potential objects are obtained, they are segmented from their backgrounds using the identical process as above, except applied on a local level. The segmented objects are classified into three, types of vehicles or into false, alarms. The classification procedure uses features measured on projections made through the segmented objects. Results are shown for 32 test images.

Citation Download Citation

O. Robert Mitchell and Stephen M. Lutton "Segmentation And Classification Of Targets In Flir Imagery", Proc. SPIE 0155, Image Understanding Systems and Industrial Applications I, (9 January 1979); https://doi.org/10.1117/12.956734

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

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.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available