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首页> 外文会议>International conference on graphic and image processing >Grayscale Inhomogeneity Correction Method for Multiple Mosaicked Electron Microscope Images
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Grayscale Inhomogeneity Correction Method for Multiple Mosaicked Electron Microscope Images

机译：多重镶嵌电子显微镜图像的灰度不均匀校正方法

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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.
机译：为了获得神经科学中大目标场景的显微分辨率图像，非常需要电子显微镜图像拼接。然而，由于电子显微镜系统的不稳定性和配准误差，多次镶嵌马赛克式电子显微镜图像的结果可能存在严重的灰度不均匀性，这降低了镶嵌式EM图像的视觉效果并加重了后续治疗的难度，例如作为自动物体识别。因此，在这些区域中必不可少的用于多个镶嵌电子显微镜图像的灰度校正方法。与大多数以前的灰度校正方法不同，本文设计了针对多个EM图像的灰度校正过程，解决了多图像单色校正的难题，并实现了重叠区域灰度的一致性。我们使用人工选择的种子图像的位置和灰度信息来调整镶嵌图像的整体灰度，然后使用泊松图像编辑融合相邻图像之间的局部重叠区域。实验结果证明了该方法的有效性。

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