Title :
Contribution to segmentation of digital images based on clustering
Author :
Horváth, Juraj ; Zolotová, Iveta ; Madarász, Ladislav
Author_Institution :
Dept. of Cybern. & Artificial Intelligence, Tech. Univ. of Kosice
Abstract :
In this work are described methods of segmentation of digital images based on clustering. As clustering method was chosen fuzzy c-means clustering method, but these methods of segmentation are not restricted only to fuzzy c-means. In these methods of segmentation can be used any clustering method, which respects some rules. Color perception by humans is also important part of this contribution. As a logical consequence of color perception is L*u*v* color space, which is also defined and described. It is described L*u*v* transformation and application of this transformation in image segmentation. First of all is mathematical definition of partial segmentation required for introduced segmentations´ methods
Keywords :
fuzzy set theory; image colour analysis; image segmentation; pattern clustering; color perception; digital images; fuzzy c-means clustering method; image segmentation; Application software; Artificial intelligence; Clustering methods; Cybernetics; Digital images; Humans; Image segmentation; Informatics; Nanometers; Pigmentation;
Conference_Titel :
Computational Cybernetics, 2004. ICCC 2004. Second IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7803-8588-8
DOI :
10.1109/ICCCYB.2004.1437676