. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 783 17.11.8 Simple Linear Iterative Clustering (SLIC) . . . . . . . . . . . . . . . . . . . . . . . . 784 17.11.9 Softglow . . . . . . . . . the layer boundary. 17.11.8 Simple Linear Iterative Clustering (SLIC) 17.11.8.1 Overview This filter creates superpixels based on k-means clustering. Superpixels are small cluster of pixels that share recognition and machine intelligence). GIMP’s aim is more humble: create a posterization effect. k-means clustering is one of the most used algorithms to create superpixels. Superpixel color is the mean of pixels

different ways depending on the output device and the program. One particularly effective method is clustering pixels of color together in an attempt to simulate another color. This is achieved by the human Floyd-Steinberg dithering technique, for example. This dithering method is simply put, a mathematical way of clustering the pixels to accomplish better results thanother dithering methods. Of course, there are always