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Proceedings Paper

Assessing camouflage using textural features
Author(s): Sten Nyberg; Lars Bohman
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Paper Abstract

Developments in the area of signature suppression make it progressively more difficult to recognize targets. The emphasis has been on the reduction of distinct features, like hot spots in the infrared band. Thus, in order to obtain a low false alarm rate, threat sensors have to utilize more information, i.e. spatial and spectral properties. The purpose of our work is to develop a general tool for camouflage assessment. The approach proposed in this paper is to apply texture descriptors to quantify the similarity between different parts of an image. In addition, other descriptors are used to distinguish man-made object characteristics. The selection of an appropriate set of features is discussed. The assumption is that an area containing observable targets has different statistics than other areas. Statistical properties along with detected target specific features have to be combined with methods used in data fusion. An experiment with a data set of 44 reference images has been carried out, using a recently developed computer program called Terrtex. High correlation with perception experiments was achieved using only one or two texture features. The importance of a careful selection of background area size is finally discussed.

Paper Details

Date Published: 18 September 2001
PDF: 12 pages
Proc. SPIE 4370, Targets and Backgrounds VII: Characterization and Representation, (18 September 2001); doi: 10.1117/12.440094
Show Author Affiliations
Sten Nyberg, Swedish Defence Research Agency (Sweden)
Lars Bohman, Swedish Defence Research Agnecy (Sweden)


Published in SPIE Proceedings Vol. 4370:
Targets and Backgrounds VII: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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