Target segmentation in IR imagery using a wavelet-based technique

Firooz A. Sadjadi

doi:10.1117/12.222669

3 October 1995 Target segmentation in IR imagery using a wavelet-based technique

Firooz A. Sadjadi

Proceedings Volume 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling; (1995) https://doi.org/10.1117/12.222669
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

Segmentation of ground based targets embedded in clutter obtained by airborne Infrared (IR) imaging sensors is one of the challenging problems in automatic target recognition. In this paper a new texture based segmentation technique is presented that uses the statistics of 2D wavelet decomposition components of the local sections of the image. A measure of statistical similarity is then used to segment the image and separate the target from the background. This technique is applied on a set of real sequential IR imagery and has shown to produce a high degree of segmentation accuracy across varying ranges.

Citation Download Citation

Firooz A. Sadjadi "Target segmentation in IR imagery using a wavelet-based technique", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222669

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