Generalized fuzzy c-shells clustering and detection of circular and elliptical boundaries

Pattern Recognition

Volumn 25, Issue 7, 1992, Pages 713-721

  Dave, Rajesh N ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Adaptive clustering; Circle detection; Cluster analysis; Ellipse detection; Fuzzy clustering; Hough transforms; Image processing; Pattern recognition

Indexed keywords

ALGORITHMS; FUZZY SETS; MATHEMATICAL TRANSFORMATIONS; PATTERN RECOGNITION;

ADAPTIVE FUZZY C-SHELLS (AFCS); AFCS ALGORITHM; CIRCLE DETECTION; CIRCULAR/ELLIPTICAL BOUNDARIES; CLUSTER ANALYSIS; FCS ALGORITHM; FUZZY C-SHELLS (FSC); FUZZY CLUSTERING; HOUGH TRANSFORM; HYPER-SPHERICAL SHELLS;

IMAGE PROCESSING;

EID: 0026897712     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(92)90134-5     Document Type: Article

References (21)

1. Use of Hough transformation to detect lines and curves in pictures
2. Use of the adaptive fuzzy clustering algorithm to detect lines in digital images
3. Generalizing the Hough transform to detect arbitrary shapes
4. Inherent noise and bias in Hough transform
5. Fuzzy shell-clustering and applications to circle detection in digital images
6. Application of fuzzy shell-clustering algorithm to recognize circular shapes in digital images
7. An application of the c-varieties clustering algorithms of polygonal curve fitting
8. Fuzzy mathematics in pattern classification
9. Detection and characterization of cluster sub structure
10. Fuzzy ellipsoidal-shell clustering algorithm and detection of elliptical shapes
11. Adaptive fuzzy c-shells clustering
12. Accelerating convergence of the fuzzy c-shells clustering algorithms
13. Fuzzy clustering with a fuzzy covariance matrix
14. Detection of ellipses by a modified Hough transform
15. Finding ellipses using the generalized Hough transform
16. The adaptive Hough transform