Segmentation based on fusion of range and intensity images using robust trimmed methods

Pattern Recognition

Volumn 34, Issue 10, 2001, Pages 1951-1962

  Chang, In Su ^a   Park, Rae Hong ^a  

^a Sogang University   (South Korea)

Author keywords

Edge detection; Image segmentation; Least trimmed squares (LTS) method; MAP estimation; Markov random field; Robust estimation; Surface parameter estimation; X trimmed method

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; EDGE DETECTION; LEAST SQUARES APPROXIMATIONS; MARKOV PROCESSES; PARAMETER ESTIMATION;

IMAGE FUSION; LEAST TRIMMED SQUARES (LTS) METHODS; MARKOV RANDOM FIELD (MRF);

IMAGE SEGMENTATION;

ALGORITHM; IMAGE ANALYSIS; IMAGE PROCESSING; SEGMENTATION;

EID: 0035480173     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(00)00124-2     Document Type: Article

References (16)

1. An experimental comparison of range image segmentation algorithms
2. Robust adaptive segmentation of range images
3. Experiments in combining intensity and range edge maps
4. Physical modeling and combination of range and intensity edge data
5. Fusion of range and intensity images on a connection machine (CM-2)
6. Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images
7. On the statistical analysis of dirty pictures
8. The theory and practice of Bayesian image labeling
9. A computational approach to edge detection
10. Alpha-trimmed means and their relationship to median filters
11. Segmentation of range images as the search for geometric parametric models
12. Multiresolution surface parameter estimation for range images