An improved watershed algorithm based on efficient computation of shortest paths
Pattern Recognition
Watershed segmentation using prior shape and appearance knowledge
Image and Vision Computing
Color image segmentation using morphological clustering and fusion with automatic scale selection
Pattern Recognition Letters
Orthogonal variant moments features in image analysis
Information Sciences: an International Journal
Illumination-robust variational optical flow with photometric invariants
Proceedings of the 29th DAGM conference on Pattern recognition
Information Sciences: an International Journal
A hybrid gradient for n-dimensional images through hyperspherical coordinates
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
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Our hybrid color distance is inspired in the human vision system, simulating the sensitivity to intensity and chromaticity of the the retina's cells: cones and rods. This approach provides excellent edge detection and is the core of our method. The segmentation output depends on the hybrid distance parameters, whose values define the segmentation method balance between intensity and chromaticity preference.