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�������պ����ѧѧ�� 2010, Vol. 36 Issue (2) :140-144    DOI:
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Region-based statistical signal processing scheme for image fusion
Wang Rui, Wang Lin, Yuan Yan*
School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� A new image fusion scheme based on region statistical signal processing was proposed. The region growing technique using gray-level clustering was employed to segment the source images into different regions whose borderline represented with crack edge. The registered source images and their segmented mapping were decomposed into a multi-resolution representation with both low-frequency coarse information and high-frequency detail information respectively. The expectation maximization algorithm modeled with noise statistic distribution was used to fuse the low-frequency coarse information of the registered images,while the match and salience measures were applied to fuse the high-frequency detail information of the registered images. The final fused image was obtained by taking the inverse transform of the composite multi-resolution representations information. Fusion experiments on real world images indicate that the proposed method is effective and efficient, which achieves better performance than the most generic fusion method.
Keywords�� image fusion   region growing   crack edge   expectation maximization   multi-resolution framework     
Received 2009-01-13;

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About author: �� � (1965-),Ů,������,������,wangr@buaa.edu.cn.
�� �, �� ��, Ԭ ��.��������Ҷ�ͳ���źŴ����ͼ���ںϷ���[J]  �������պ����ѧѧ��, 2010,V36(2): 140-144
Wang Rui, Wang Lin, Yuan Yan.Region-based statistical signal processing scheme for image fusion[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2010,V36(2): 140-144
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2010/V36/I2/140
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