Authors:
Olga Baklanova
and
Olga Ya Shvets
Affiliation:
D.Serikbayev East-Kazakhstan State Technical University, Kazakhstan
Keyword(s):
Cluster Analysis, Mineral Rocks, Pattern Recognition, Segmentation of Colour Images, Colour Space HSV, Mining Industry.
Related
Ontology
Subjects/Areas/Topics:
Biometrics and Pattern Recognition
;
Design and Implementation of Signal Processing Systems
;
Human-Machine Interface
;
Image and Video Processing, Compression and Segmentation
;
Multidimensional Signal Processing
;
Multimedia
;
Multimedia Signal Processing
;
Multimedia Systems and Applications
;
Telecommunications
Abstract:
It is described the algorithm for automatic segmentation of colour images of ores, using the methods of cluster analysis. There are some examples illustrated using of the algorithm in the solving of mineral rock recognition problems. Results of studies are demonstrated different colour spaces by k-means clustering. It was supposed the technique of pre- computing the values of the centroids. There is formulas translation metrics colour space HSV. The effectiveness of the proposed method lies in the automatic identification of interest objects on the total image, tuning parameters of the algorithm is a number that indicates the amount allocated to the segments. This paper contains short description of cluster analysis algorithm for the mineral rock recognition in the mining industry.