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Proceedings Paper

Histogram equalization, image registration, and data fusion for multispectral images
Author(s): Deepam Mishra; Andrew K. Chan; Charles K. Chui
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Paper Abstract

Texture detection using a multispectral approach is naturally superior to a unispectral one because the multispectral process takes more information into account. Details not obvious in one image may be more prominent in others, hence improving the chances of recognition and detection. In this paper we present a new method for preprocessing and eventually fusing a set of multispectral images. Images are preprocessed using histogram equalization, which is found to be ideally suited for this exercise. A wavelet transform technique is used to fuse data from the different multispectral images.

Paper Details

Date Published: 20 June 1995
PDF: 7 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211303
Show Author Affiliations
Deepam Mishra, Texas A&M Univ. (United States)
Andrew K. Chan, Texas A&M Univ. (United States)
Charles K. Chui, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 2496:
Detection Technologies for Mines and Minelike Targets
Abinash C. Dubey; Ivan Cindrich; James M. Ralston; Kelly A. Rigano, Editor(s)

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