An Adaptive Contour Closure Algorithm and Its Experimental Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved range image segmentation by analyzing surface fit patterns
Computer Vision and Image Understanding
Automatic selection of MRF control parameters by reactive tabu search
Image and Vision Computing
Tuning range image segmentation by genetic algorithm
EURASIP Journal on Applied Signal Processing
Distance measures for image segmentation evaluation
EURASIP Journal on Applied Signal Processing
Combination of Multiple Segmentations by a Random Walker Approach
Proceedings of the 30th DAGM symposium on Pattern Recognition
Ensemble Combination for Solving the Parameter Selection Problem in Image Segmentation
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Improved range image segmentation by analyzing surface fit patterns
Computer Vision and Image Understanding
A class of generalized median contour problem with exact solution
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Optimal parameter estimation for MRF stereo matching
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
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A wide number of algorithms for surface segmentation in range images have been recently proposed characterized by different approaches (edge filling, region growing...), different surface types (either for planar or curved surfaces) and different parameters involved. Optimization of the parameter set is a particularly critical task since the range of parameter variability is often quite large: parameter selection depends on surface type, sensors and the required speed, which strongly affect performance. A framework for parameters optimization is proposed based on genetic algorithms. Such algorithms allow a general approach that has been successfully applied on different state-of-the-art segmenters and different range image databases.