Author: CSDN @ _Yakult_
This article records the code for superpixel segmentation using the slic function in the skimage.segmentation module of the Scikit-image library.
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1. Detailed explanation of slic function
In the skimage.segmentation module of the Scikit-image library, the slic function is used for superpixel segmentation. The parameters of this function have the following meanings:
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image : The input image to be segmented, either grayscale or color. For color images, superpixel segmentation will be performed in color space.
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n_segments : desired number of superpixels. Larger values produce more superpixels, smaller values produce fewer superpixels. Generally, the larger the value, the more detailed the segmentation.
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compactness : The compactness parameter used to adjust the shape of superpixels. Larger values make superpixels more compact and more regularly shaped, while smaller values result in more irregular shapes.