Multi-focus Image Fusion using Watershed Region Segmentation and Morphological Wavelet Transform

摘要：

An image with every scene parts in focus contains more information and is useful in many fields such as biomedical imaging, microscopic imaging,remote sensing, computer vision and robotics. In this paper, a novel region-based multi-focus image fusion algorithm is proposed. Firstly, two or multiple multifocus images are fused using simple average method.Then the intermediate fused image is segmented using watershed method. Finally the source images are fused according to the segmented regions, where the activity measure of regions is evaluated by the coefficients of morphological wavelet decomposition. Experimental results show that the proposed algorithm performs well on multi-focus image fusion.

关键词： Image fusion image segmentation morphological wavelet

作者: Bin Yang Shutao Li

作者单位: College of Electrical and Information Engineering, Hunan University,Changsha, 410082, China

会议类型: 国际会议

会议名称: The International Colloquium on Onformation Fusion 2007(2007年国际信息融合研讨会)

会议地点: 西安

会议语种:英文

页码: 335-339

在线出版日期: 2007-08-22（万方平台首次上网日期，不代表论文的发表时间）