Title :
Image segmentation by area decomposition of HSV components
Author :
Impey, Stephen J. ; Bangham, J.Andrew
Author_Institution :
School of Information Systems, University of East Anglia, Norwich NR4 7TJ, UK
Abstract :
Coloured images may be simplified with an area based sieve whilst preserving edges and, usually, colour up to the edges using either the hue, saturation and value (HSV) or red, blue, green (RGB) components. Furthermore, an image may be segmented by area. Applying the sieve to HSV components from a colour image appears to significantly improve the chances of finding objects in a scene, particularly when the objects have different colours. An example of finding cars in a car park scene is presented.
Keywords :
Image color analysis; Image edge detection; Image segmentation; Maximum likelihood detection; Nonlinear filters; Shape; Transforms;
Conference_Titel :
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location :
Trieste, Italy
Print_ISBN :
978-888-6179-83-6