Color space analysis in color image segmentation
VIP '00 Selected papers from the Pan-Sydney workshop on Visualisation - Volume 2
Color image segmentation using fuzzy C-means and eigenspace projections
Signal Processing
Histogram ratio features for color texture classification
Pattern Recognition Letters
Robust Photometric Invariant Region Detection in Multispectral Images
International Journal of Computer Vision
Computer Vision and Image Understanding
Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Robust Histogram Construction from Color Invariants for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel initialization scheme for the fuzzy c-means algorithm for color clustering
Pattern Recognition Letters
Elvis: situated speech and gesture understanding for a robotic chandelier
Proceedings of the 6th international conference on Multimodal interfaces
Color image segmentation by analysis of subset connectedness and color homogeneity properties
Computer Vision and Image Understanding
Designing spectral sensitivity curves for use with Artificial Color
Pattern Recognition
Color image segmentation using morphological clustering and fusion with automatic scale selection
Pattern Recognition Letters
Color image segmentation by analysis of subset connectedness and color homogeneity properties
Computer Vision and Image Understanding
From manual to automated optical recognition of ancient coins
VSMM'07 Proceedings of the 13th international conference on Virtual systems and multimedia
Image-based quality monitoring system of limestone ore grades
Computers in Industry
Engineering Applications of Artificial Intelligence
A rough-fuzzy HSV color histogram for image segmentation
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Spatial homogeneity-based fuzzy c-means algorithm for image segmentation
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Lattice associative memories for segmenting color images in different color spaces
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Bayesian multiscale analysis of images modeled as Gaussian Markov random fields
Computational Statistics & Data Analysis
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In this work, we present a segmentation algorithm for color images that uses the watershed algorithm to segment either the two-dimensional (2-D) or the three-dimensional (3-D) color histogram of an image. For compliance with the way humans perceive color, this segmentation has to take place in a perceptually uniform color space like the Luv space. To avoid oversegmentation, the watershed algorithm has to be applied to a smoothed histogram