Standard and Genetic k-means Clustering Techniques in Image Segmentation

Authors:
Dariusz Malyszko;Slawomir T. Wierzchon
Affiliations:
Technical University of Bialystok, Poland;University of Gdansk, Poland/ Polish Academy of Sciences, Poland
Venue:
CISIM '07 Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications
Year:
2007

Citing 0
Cited 5

Standard and Fuzzy Rough Entropy Clustering Algorithms in Image Segmentation

RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
A Hybrid Rough K-Means Algorithm and Particle Swarm Optimization for Image Classification

MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Mice and larvae tracking using a particle filter with an auto-adjustable observation model

Pattern Recognition Letters
Hidden Markov models applied to snakes behavior identification

PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Fast image segmentation based on K-means algorithm

Proceedings of the 4th International Conference on Internet Multimedia Computing and Service

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the paper we try to answer, whether the Gaussian distribution -- called widely the 'normal; distribution -- is really basic, natural and normal. In particular, we investigate how the above statement conforms with the distribution of real data, namely ...