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Stitching Algorithm for Pathologic Slice Image Based on Wavelet Transform and Mathematical Morphology

机译:基于小波变换和数学形态学的病理切片图像缝合算法

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In order to improve the stitching precision of pathologic slices under noise circumstances, a stitching algorithm based on wavelet transform and morphology is put forward in this paper. The maximal character object, which is closest to barycenter of overlapping region, is used to stitch images. Results show that the precision of registration is increased largely and the effect of mosaic is excellent with the method, and that it is a rapid and practical algorithm of image mosaic, especially applicable to image stitching under noise circumstances.
机译:为了在噪声环境下提高病理切片的缝合精度,本文提出了一种基于小波变换和形态的缝合算法。最接近重叠区域的重叠区的最大字符对象用于针迹迹迹。结果表明,注册的精度大大增加,镶嵌的效果具有优异的方法,并且它是一种快速实用的图像马赛克算法,特别适用于噪声环境下的图像缝合。

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