Histogram equalization, image registration, and data fusion for multispectral images

Deepam Mishra; Andrew K. Chan; Charles K. Chui

doi:10.1117/12.211303

20 June 1995 Histogram equalization, image registration, and data fusion for multispectral images

Deepam Mishra, Andrew K. Chan, Charles K. Chui

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211303
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Deepam Mishra, Andrew K. Chan, and Charles K. Chui "Histogram equalization, image registration, and data fusion for multispectral images", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211303

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