A multi-focus image fusion method based on watershed segmentation and IHS image fusion. (3rd April 2021)

• Record Type: Journal Article
• Authors: Rashwan, Shaheera; Youssef, Amira; Youssef, Bayumy A. B.
• Is Part Of: International journal of image and data fusion. Volume 12:Number 2(2021)
• Page Start: 176
• Page End: 184
• Publication Date: 2021-04-03
• Subjects: Defocused Images -- Image Fusion -- IHS image fusion -- Watershed image segmentation -- focus measure; Image processing -- Periodicals; Multisensor data fusion -- Periodicals; Multisensor data fusion; Periodicals; 621.36705
• DOI: 10.1080/19479832.2020.1791262
• Languages: English
• ISSNs: 1947-9832

Abstract

ABSTRACT: High magnification optical cameras, such as microscopes or macro-photography, cannot capture an object that is totally in focus. In this case, image acquisition is done by capturing the object/scene with the camera using a set of images with different focuses, then fusing to produce an 'all-in-focus' image that is clear everywhere. This process is called multi-focus image fusion. In this paper, a method named Watershed on Intensity Hue Saturation (WIHS) is proposed to fuse multi-focus images. First, the defocused images are fused using IHS image fusion. Then the marker controlled watershed segmentation algorithm is utilized to segment the fused image. Finally, the Sum-Modified of Laplacian is applied to measure the focus of multi-focus images on each region and the region with higher focus measure is chosen from its corresponding image to compute the all-in- focus resulted image. The experiment results show that WIHS has best performance in quantitative comparison with other methods.