A modified fuzzy C-means image segmentation algorithm for use with uneven illumination patterns

Pattern Recognition

Volumn 40, Issue 11, 2007, Pages 3005-3011

  Ma, Li ^a   Staunton, R C ^b  

^a HANGZHOU DIANZI UNIVERSITY   (China)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Biased illumination field; Fuzzy clustering; Illumination pattern; Image segmentation; Projected pattern

Indexed keywords

ALGORITHMS; FUZZY CLUSTERING; LIGHTING; OPTIMIZATION; PIXELS;

BIASED ILLUMINATION FIELD; ILLUMINATION PATTERN; PROJECTED PATTERN; SURFACE ORIENTATION;

IMAGE SEGMENTATION;

EID: 34250862035     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2007.02.005     Document Type: Article

References (14)

1. Haala N., and Brenner C. Virtual city models from laser altimeter and 2D map data. J. Photogramm. Eng. Remote Sensing 65 7 (1999) 787-795
2. P. An, C. Lu, Z. Zhang, Object segmentation using stereo images, in: International Conference on Communications, Circuits and Systems, vol. 1, Chendu, PR China, 27-29 June 2004, pp. 534-538.
3. Nayar S.K., Watanabe M., and Noghchi M. Real-time range sensor. IEEE Pattern Anal. Mach. Intell. 18 12 (1996) 1186-1198
4. Subbarao M., and Surya G. Depth from defocus: a spatial domain approach. Int. J. Comput. Vision 13 3 (1994) 271-294
5. Zhang Y.J. Image Engineering, Part I (2002), Tshinghua Publishing House, Beijing, PR China
6. Otsu N. A threshold selection method for grey-level histogram. IEEE Syst. Man Cybern. 9 1 (1979) 62-66
7. Sonka M., Hlavac V., and Boyle R. Image Processing, Analysis, and Machine Vision, second ed., PWS (1998), Boston, USA pp. 123-186
8. Elder J.H., and Zucker S.W. Local scale control for edge detection and blur estimation. IEEE Pattern Anal. Mach. Intell. 20 7 (1998) 699-716
9. Tek F.B., Dempster A.G., and Kale I. Noise sensitivity of watershed segmentation for different connectivity: experimental study. Electron. Lett. 40 21 (2004) 1332-1333
10. Mukherjee D.P., Pal P., and Das J. Sodar image segmentation by fuzzy c-means. Signal Process. 54 (1996) 295-301
11. Ahmed M.N., Yamany S.M., Mohamed N., Farag A.A., and Moriarty T. A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data. IEEE Med. Imaging 21 3 (2002) 193-200
12. Ma Li., and Staunton R.C. Integration of multiresolution image segmentation and neural networks for object depth recovery. Pattern Recognition 38 7 (2005) 985-996
13. Bezdek J.C. A convergence theorem for the fuzzy ISODATA clustering algorithms. IEEE Pattern Anal. Mach. Intell. 2 1 (1980) 1-8
14. Haralick R.M., Sternberg S.R., and Zhuang X. Image analysis using mathematical morphology. IEEE Pattern Anal. Mach. Intell. 9 4 (1987) 532-550