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Generating artificial hyperspectral images using correlated analysis of co-registered images
Generating artificial hyperspectral images using correlated analysis of co-registered images
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机译:使用共注册图像的相关分析生成人工高光谱图像
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摘要
High-resolution digital images of adjacent slices of a tissue sample are acquired, and tiles are defined in the images. Values associated with image objects detected in each tile are calculated. The tiles in adjacent images are co-registered. A first hyperspectral image is generated using a first image, and a second hyperspectral image is generated using a second image. A first pixel of the first hyperspectral image has a first pixel value corresponding to a local value obtained using image analysis on a tile in the first image. A second pixel of the second hyperspectral image has a second pixel value corresponding to a local value calculated from a tile in the second image. A third hyperspectral image is generated by combining the first and second hyperspectral images. The third hyperspectral image is then displayed on a computer monitor using a false-color encoding generated using the first and second pixel values.
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