10 April 2018 Grayscale inhomogeneity correction method for multiple mosaicked electron microscope images
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152N (2018) https://doi.org/10.1117/12.2303557
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
Electron microscope image stitching is highly desired to acquire microscopic resolution images of large target scenes in neuroscience. However, the result of multiple Mosaicked electron microscope images may exist severe gray scale inhomogeneity due to the instability of the electron microscope system and registration errors, which degrade the visual effect of the mosaicked EM images and aggravate the difficulty of follow-up treatment, such as automatic object recognition. Consequently, the grayscale correction method for multiple mosaicked electron microscope images is indispensable in these areas. Different from most previous grayscale correction methods, this paper designs a grayscale correction process for multiple EM images which tackles the difficulty of the multiple images monochrome correction and achieves the consistency of grayscale in the overlap regions. We adjust overall grayscale of the mosaicked images with the location and grayscale information of manual selected seed images, and then fuse local overlap regions between adjacent images using Poisson image editing. Experimental result demonstrates the effectiveness of our proposed method.
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Fangxu Zhou, Xi Chen, Rong Sun, Hua Han, "Grayscale inhomogeneity correction method for multiple mosaicked electron microscope images", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152N (10 April 2018); doi: 10.1117/12.2303557; https://doi.org/10.1117/12.2303557
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