The primary purpose of an image segmentation system is to extract information from the images to allow the discrimination among different objects of interest. Image segmentation is of great interest in a variety of scientific and industrial fields, with applications in medicine, microscopy, remote sensing, control of quality, retrieval of information in graphic databases, among others. The segmentation process is usually based on gray level intensity, color, shape, or texture.
In: Chilean Journal of Statistics, 2 (2), pp. 51-60, 2011.
In: International Symposium on Advances in Visual Computing, pp. 113-122, 2008, ISBN: 978-3-540-89645-6.
In: International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pp. 81-87, 2007, ISBN: 978-80-86943-01-5.
In: IEEE International Conference on Image Processing, pp. 2449-2452, 2006.