Title
Multiband segmentation using morphological clustering and fusion $application to color image segmentation
Abstract
In this paper we propose a novel approach for color image segmentation. Our approach is based on segmentation of subsets of bands using mathematical morphology followed by the fusion of the resulting segmentation "channels". For color images the band subsets are chosen as RG, RB and GB pairs, whose 2D histograms are processed as projections of a 3D histogram. The segmentations in 2D color spaces are obtained using the watershed algorithm. These 2D segmentations are then combined to obtain a final result using a region split-and-merge process. The CIE L*a*b* color space is used to measure the color distance. Our approach results in improved performance and can be generalized for multiband segmentation of images such as multispectral satellite images.
Year
DOI
Venue
2003
10.1109/ICIP.2003.1246971
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference
Keywords
Field
DocType
image classification,image colour analysis,image segmentation,mathematical morphology,band subset,color image segmentation,fusion technique,mathematical morphology,multiband segmentation,region split-and-merge process,watershed algorithm
Computer vision,Scale-space segmentation,Color space,Pattern recognition,Color histogram,Computer science,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Region growing,Color quantization,Color image
Conference
Volume
Issue
ISSN
1
null
1522-4880
ISBN
Citations 
PageRank 
0-7803-7750-8
4
0.46
References 
Authors
7
4
Name
Order
Citations
PageRank
Xue, H.140.46
Thierry G?eraud239035.10
Alexandre Duret Lutz321317.70
Duret-Lutz, A.440.46