Novel technique for multiresolution color image segmentation

Optical Engineering

Volumn 41, Issue 3, 2002, Pages 608-614

  Gao, Jianbo ^a   Zhang, Jun ^a   Fleming, Matthew G ^a  

^a University of Wisconsin Milwaukee   (United States)

Author keywords

Color image segmentation; Image analysis; Image segmentation; Markov random fields; Mean field theory; Multiresolution processing

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COLOR IMAGE PROCESSING; OPTICAL RESOLVING POWER; PATTERN RECOGNITION;

MARKOV RANDOM FIELDS; MULTIRESOLUTION COLOR IMAGES;

IMAGE SEGMENTATION;

EID: 0036505043     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.1432315     Document Type: Article

References (19)

1. On the color image segmentation algorithm based on the thresholding and the fuzzy C-means techniques
2. Robust analysis of feature spaces: Color image segmentation
3. Adaptive Bayesian estimation of color images
4. Detecting human faces in color images
5. Towards physics-based segmentation of photographic color images
6. Color snakes
7. A multiscale random field model for Bayesian image segmentation
8. A new multiresolution algorithm for image segmentation
9. Segmentation of digitized dermatoscopic images by two-dimensional color clustering
10. Techniques for a structural analysis of dermatoscopic imagery
11. The mean field theory in EM procedures for Markov random fields
12. Maximum likelihood from incomplete data via the EM algorithm
13. Unsupervised color image segmentation with application to skin tumor borders
14. Boundary detection by constrained optimization
15. Image segmentation by multigrid MRF optimization with perceptual considerations