학술논문
Unsupervised two-color ELISPOT image segmentation based on k-means Clustering
Document Type
Conference
Author
Source
2008 International Conference on "Modern Problems of Radio Engineering, Telecommunications and Computer Science" (TCSET) Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2008 Proceedings of International Conference on. :368-372 Feb, 2008
Subject
Language
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.