Title :
Unsupervised two-color ELISPOT image segmentation based on k-means Clustering
Author :
Wojciech Bieniecki;Michał Krupiński;Szymon Grabowski;Katarzyna Kościelska-Kasprzak;Dominika Drulis-Fajdasz;Oktawia Mazanowska;Marian Klinger
Author_Institution :
Computer Engineering Dept., al. Politechniki 11, 90-924 Lodz, Poland
Abstract :
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.
Keywords :
"Pixel","Image segmentation","Education","Image color analysis","Feature extraction","Gravity","Classification algorithms"
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2008 Proceedings of International Conference on
Print_ISBN :
978-966-553-678-9
