Unsupervised two-color ELISPOT image segmentation based on k-means Clustering
Wojciech Bieniecki, Michał Krupiński, Szymon Grabowski, Katarzyna Kościelska−Kasprzak, Dominika Drulis‐Fajdasz, Oktawia Mazanowska, Marian Klinger · International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science · 2008
An algorithm for color microscope image segmentation is presented. The aim of the segmentation is to extract two types of color spots in a viewing area. The algorithm, based on k-means clustering, with a known number of spot types, automatically selects the color ranges for each type of spot and carries out the pixel classification.