Image segmentation based on statistically principled clustering

IEEE International Conference on Image Processing

Volumn 3, Issue , 2001, Pages 66-69

  Pauwels, E J ^a   Frederix, G ^a   Caenen, G ^a  

^a CWI   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; CONFORMAL MAPPING; FEATURE EXTRACTION; MATHEMATICAL MODELS; OPTIMIZATION; STATISTICAL METHODS;

HISTOGRAM PARTITIONING; STATISTICALLY PRINCIPLED CLUSTERING;

IMAGE SEGMENTATION;

EID: 0035167519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Maximum likelihood from incomplete data via the EM algorithm
2. Distribution theory for tests based on the sample distribution function
3. Spline smoothing and nonparametric regression
4. Some results on tchebycheffian spline functions
5. Image segmentation by non-parametric clustering based on the Kolmogorov-Smirnov distance