DocumentCode :
3140030
Title :
Feature-Based Multi-sensor Images Alignment and Enhancement
Author :
Myung-Ho Ju ; Sung-Yong Kim ; Hang-Bong Kang
Author_Institution :
Dept. of Comput. Eng., Catholic Univ. of Korea, Bucheon, South Korea
fYear :
2012
fDate :
10-12 Dec. 2012
Firstpage :
191
Lastpage :
198
Abstract :
This paper presents an efficient image alignment and image enhancement method for multi-sensor images. The shape of the object captured in one of the multi-sensor images can be found by similar edges but different contrasts in the other multi-sensor image. Using this cue, our approach is based on the magnitudes of the oriented edges and results in the fast alignment method by feature matching between multi-sensor images. To enhance the image with aligned multi-sensor images, we estimate a salient region mask which covers the information of all input images. Our experimental results show that our proposed method can efficiently align multi-sensor images and enhance them better than the current methods.
Keywords :
edge detection; feature extraction; image enhancement; image fusion; image matching; shape recognition; edge orientation; feature matching; feature-based multisensor image; image alignment; image contrast; image enhancement; salient region mask estimation; shape recognition; Brightness; Charge coupled devices; Educational institutions; Feature extraction; Histograms; Image edge detection; Image enhancement; alignment; image enhancement; infrared; multi-sensor images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia (ISM), 2012 IEEE International Symposium on
Conference_Location :
Irvine, CA
Print_ISBN :
978-1-4673-4370-1
Type :
conf
DOI :
10.1109/ISM.2012.45
Filename :
6424658
Link To Document :
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