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Region-Based Colour Image Segmentation: Control Parameters and Evaluation Functions
Henryk Palus
  DOI :  10.2352/CGIV.2002.1.1.art00056  Published Online :  January 2002
Abstract

In this paper an original region-based segmentation technique for colour images is presented. This technique is based on the concepts of region growing without seeds and, in postprocessing process, on a small regions removal by region merging. Experimental results of proposed segmentation technique are reported. Selected heuristic functions for quantitative evaluation of segmentation results are reviewed. Problems with using evaluation functions for the choice of values of two control parameters are described.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2002.1.1.art00056
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Henryk Palus, "Region-Based Colour Image Segmentation: Control Parameters and Evaluation Functions"  in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 259 - 262,  https://doi.org/10.2352/CGIV.2002.1.1.art00056

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 2002
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20020101)2002:1L.259;1-
cgiv_v2002n1/splitsection56.xml
/ist/cgiv/2002/00002002/00000001/art00056
Articles
Region-Based Colour Image Segmentation: Control Parameters and Evaluation Functions
PalusHenryk
01012002
2002
1
259
262
2002
In this paper an original region-based segmentation technique for colour images is presented. This technique is based on the concepts of region growing without seeds and, in postprocessing process, on a small regions removal by region merging. Experimental results of proposed segmentation technique are reported. Selected heuristic functions for quantitative evaluation of segmentation results are reviewed. Problems with using evaluation functions for the choice of values of two control parameters are described.