SAGA.imagery_segmentation.4: Superpixel Segmentation
The Superpixel Segmentation tool implements the 'Simple Linear Iterative Clustering' (SLIC) algorithm, an image segmentation method described in Achanta et al. (2010). <br/><br/>SLIC is a simple and efficient method to decompose an image in visually homogeneous regions. It is based on a spatially localized version of k-means clustering. Similar to mean shift or quick shift, each pixel is associated to a feature vector. <br/><br/>This tool is follows the SLIC implementation created by Vedaldi and Fulkerson as part of the VLFeat library.
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{"id": "SAGA.imagery_segmentation.4", "title": "Superpixel Segmentation", "description": "The Superpixel Segmentation tool implements the 'Simple Linear Iterative Clustering' (SLIC) algorithm, an image segmentation method described in Achanta et al. (2010). <br/><br/>SLIC is a simple and efficient method to decompose an image in visually homogeneous regions. It is based on a spatially localized version of k-means clustering. Similar to mean shift or quick shift, each pixel is associated to a feature vector. <br/><br/>This tool is follows the SLIC implementation created by Vedaldi and Fulkerson as part of the VLFeat library. 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