Multifocus image fusion using region segmentation and spatial frequency

被引:408
作者
Li, Shutao [1 ]
Yang, Bin [1 ]
机构
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
image fusion; image segmentation; normalized cuts; multi-focus; digital cameras;
D O I
10.1016/j.imavis.2007.10.012
中图分类号
TP18 [人工智能理论];
学科分类号
081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];
摘要
Image fusion is a process of combining complementary information from multiple images of the same scene into an image, so that the resultant image contains a more accurate description of the scene than any of the individual source images. In this paper, a new region-based multifocus image fusion method is proposed. The motivation of our proposed method lies in the fact that region-based image fusion methods could be more meaningful than pixel-based fusion methods which just consider individual pixels or associated local neighborhoods of pixels in the fusion process. The fusion process contains the following steps: firstly, multifocus images are fused using the simple average method. Then the intermediate fused image is segmented using the normalized cut method. Then the two source images are segmented according to the segmenting result of the intermediate fused image. Finally, the corresponding segmented regions of the source images are fused according to their spatial frequencies. Experimental results on several pairs of multi-focus image show that the proposed method can give good results. The proposed method is more robust to misregistration or slight motion of the object than the pixel-based method. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:971 / 979
页数:9
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