Shading and highlight invariant color image segmentation using the MPC algorithm

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4300, Issue , 2001, Pages 229-240

  Wesolkowski, S ^a   Tominaga, S ^b   Dony, R D ^a  

^a UNIVERSITY OF GUELPH   (Canada)

^b OSAKA ELECTRO COMMUNICATION UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS;

COLOR CLUSTERING; COLOR IMAGE SEGMENTATION; MIXTURE OF PRINCIPAL COMPONENTS (MPC) ALGORITH;

IMAGE SEGMENTATION;

EID: 0035058057     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.410795     Document Type: Article

References (19)

1. Image segmentation using a mixture of principal components representation
2. Color-based object recognition
3. A physical approach to color image understanding
4. Genetic K-means algorithm
5. On the color image segmentation algorithm based on the thresholding and fuzzy c-means techniques
6. Color image segmentation based on 3-D clustering: Morphological approach
7. Automatic watershed segmentation of randomly textured color images
8. Photometric invariant region detection in multi-spectral images
9. The standard reflectance model and illuminant estimation
10. Color classification of natural color images
11. Dichromatic reflection models for a variety of materials
12. A multi-channel vision system for estimating surface and illuminant functions
13. Spectral imaging by a multichannel camera
14. Global color image segmentation strategies: Euclidean distance vs. vector angle