Image segmentation using probabilistic fuzzy c-means clustering

IEEE International Conference on Image Processing

Volumn 1, Issue , 2001, Pages 722-725

  Pham, T D ^a  

^a Analog Design Automation Inc   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY SETS; ITERATIVE METHODS; LAGRANGE MULTIPLIERS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; PROBABILITY;

FUZZY MEMBERSHIP FUNCTION; GRAY-LEVEL IMAGE SEGMENTATION; PROBABILISTIC FUZZY C-MEANS CLUSTERING ALGORITHMS;

IMAGE SEGMENTATION;

EID: 0035158660     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Threshold selection based on fuzzy c-partition entropy approach
2. Correcting for negative weights in ordinary kriging
3. A possibilistic approach to clustering
4. Principles of geostatistics
5. Image segmentation by indicator kriging
6. A threshold selection method for gray-level histograms
7. Conditional fuzzy c-means