DocumentCode :
397082
Title :
Color image segmentation using connected regions
Author :
Wesolkowski, Slawo ; Fieguth, Paul
Author_Institution :
Dept. of Syst. Design, Waterloo Univ., Ont., Canada
Volume :
2
fYear :
2003
fDate :
4-7 May 2003
Firstpage :
1203
Abstract :
A color image segmentation algorithm based on region growing is presented. Each region is characterized using two parameters: within region color contrast and between region color contrast. The first parameter is the distance between the two most distant pixels in terms of color. The second parameter is the distance between the candidate pixel and its nearest neighbor in the region. The color similarity measure used is the vector angle, which is invariant to shading. Highlight invariance is accomplished by using a highlight removal transformation, which removes the average pixel intensity from each RGB coordinate. The first calculation is very computationally intensive. To reduce this computational burden, the algorithm keeps track of which pixels already in the region are furthest spatially from the pixel being considered. The assumption would be that the pixels the furthest away would be the ones most different from the pixel being considered. We will present results on artificial and real images to illustrate the effectiveness of the method.
Keywords :
image colour analysis; image segmentation; realistic images; RGB coordinate; color image segmentation; color similarity measure; connected region; highlight invariance; highlight removal transformation; pixel intensity; real image; shading invariance; vector angle; Clustering algorithms; Euclidean distance; Humans; Image color analysis; Image segmentation; Lighting; Nearest neighbor searches; Optical reflection; Prototypes; Random access memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on
ISSN :
0840-7789
Print_ISBN :
0-7803-7781-8
Type :
conf
DOI :
10.1109/CCECE.2003.1226114
Filename :
1226114
Link To Document :
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