RT Journal Article
SR Electronic
A1 Zachariasova, Martina
A1 Hudec, Robert
A1 Benco, Miroslav
A1 Kamencay, Patrik
A1 Lukac, Peter
A1 Matuska, Slavomir
T1 The Effect of Metric Space on the Results of Graph Based Colour Image Segmentation
JF Communications - Scientific Letters of the University of Zilina
YR 2012
VO 14
IS 3
SP 68
OP 72
DO 10.26552/com.C.2012.3.68-72
UL https://komunikacie.uniza.sk/artkey/csl-201203-0011.php
AB This paper deals with the impact of the metric space on the results of colour image segmentation algorithm. Distance and similarity measures are important tasks for quality of colour image segmentation. Main idea of this research is to make a comparison of algorithm results with using different metrics. Euclidean distance is the most used metric in many colour image segmentation algorithms. This paper shows comparison of this metric with many other metrics. Nine different metrics are gradually used in efficient graph based colour image segmentation algorithm created in the C++ language. The efficiency of precision and recall is one of the investigation tasks of colour image segmentation.