SuperpixelImageSegmentation 1.0.5

• I updated the documentation

SuperpixelImageSegmentation 1.0.4

• I’ve added the CITATION file in the inst directory

SuperpixelImageSegmentation 1.0.3

• I’ve included the Affinity Propagation Clustering parameters in the spixel_segmentation method of the Image_Segmentation R6 class and especially the ap_maxits (maximum number of iterations), ap_convits (convits iterations), ap_dampfact (update equation damping level) and ap_nonoise (small amount of noise to prevent degenerate cases). Although the default parameter values work for the majority of Image Segmentation tasks, adjustments might be necessary for specific use cases.

SuperpixelImageSegmentation 1.0.2

• I’ve added the return_labels_2_dimensionsional parameter to the spixel_segmentation R6 Method, so that if TRUE then the 2-dimensional (matrix) superpixel labels will be returned
• I’ve added the spixel_clusters_show method to visualize the superpixel clusters in case the return_labels_2_dimensionsional parameter is set to TRUE

SuperpixelImageSegmentation 1.0.1

• I’ve added an error case if the kmeans_initializer parameter is not one of ‘kmeans++’, ‘random’, ‘optimal_init’ or ‘quantile_init’

SuperpixelImageSegmentation 1.0.0

• The spixel_segmentation method allows also the user to return the kmeans clusters too (in case that the kmeans_method is set to “kmeans” or “mini_batch_kmeans”)