How to find the mean color value of superpixels (over-segmentation) for 3D label image ?
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If I have a labeled image resulting from an over-segmentation method similar as SLIC superpixels method for 2D image. However, I have a 3D image. Now my question is how to replace the label value by the mean color value in all 3D dimension? I found in MATLAB documentation how to apply it for 2D (https://www.mathworks.com/help/images/ref/superpixels.html) but when I apply each view independently the results are not consistent and may change across views. for that reason how can I replace the value of superpixels by the mean value of the image?
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yanqi liu
2021 年 12 月 11 日
yes,sir,may be use for loop to split 3D image as 2D image list,and use mean2 on every image,finally rerange to 3D result output
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