Data field-based transition region extraction and thresholding

Optics and Lasers in Engineering

Volumn 50, Issue 2, 2012, Pages 131-139

  Wu, Tao ^a,b   Qin, Kun ^a  

^a WUHAN UNIVERSITY   (China)

^b LINGNAN NORMAL UNIVERSITY   (China)

Author keywords

Data field; Image segmentation; Image thresholding; Transition region

Indexed keywords

DATA FIELDS; GRAY LEVEL IMAGE; GRAY LEVELS; IMAGE DATA; IMAGE THRESHOLDING; PARAMETERS SELECTION; POTENTIAL VALUES; REAL IMAGES; ROBUST MEASUREMENT; SEGMENTATION METHODS; SPATIAL INTERACTION; THRESHOLDING; TRANSITION REGION; TRANSITION REGIONS;

VALUE ENGINEERING;

IMAGE SEGMENTATION;

EID: 80655148915     PISSN: 01438166     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.optlaseng.2011.09.017     Document Type: Article

References (34)

1. A. Fernández, M.X. Álvarez, and F. Bianconi Image classification with binary gradient contours Opt Lasers Eng 49 910 2011 1177 1184
2. K. Roy, P. Bhattacharya, and C.Y. Suen Iris segmentation using variational level set method Opt Lasers Eng 49 4 2011 578 588
3. C. Belcher, and Y. Du Region-based sift approach to iris recognition Opt Lasers Eng 47 1 2009 139 147
4. A. Basit, and M. Javed Localization of iris in gray scale images using intensity gradient Opt Lasers Eng 45 12 2007 1107 1114 (Pubitemid 47391022)
5. Z. Liu, L. Shen, and Z. Zhang Unsupervised image segmentation based on analysis of binary partition tree for salient object extraction Signal Process 91 2 2011 290 299
6. Z. Li, C. Liu, G. Liu, Y. Cheng, X. Yang, and C. Zhao A novel statistical image thresholding method AEU Int J Electron Commun 64 12 2010 1137 1147
7. P. Sahoo, S. Soltani, and A. Wong A survey of thresholding techniques Comput Vision Graphics Image Process 41 2 1988 233 260
8. N.R. Pal, and S.K. Pal A review on image segmentation techniques Pattern Recognition 26 9 1993 1277 1294
9. Y. Zhang A survey on evaluation methods for image segmentation Pattern Recognition 29 8 1996 1335 1346 (Pubitemid 126405520)
10. M. Sezgin, and B. Sankur Survey over image thresholding techniques and quantitative performance evaluation J Electron Imag 13 1 2004 146 165
11. N. Otsu A threshold selection method from gray-level histogram IEEE Trans Syst Man Cybern 9 1 1979 62 66 (Pubitemid 9413341)
12. J. Kapur, P. Sahoo, and A. Wong A new method for graylevel picture thresholding using the entropy of the histogram Comput Graphics Image Process 34 11 1985 273 285 (Pubitemid 15510905)
13. J. Kittler, and J. Illingworth Minimum error thresholding IEEE Trans Syst Man Cybern 19 1 1986 41 47
14. X. Yang, W. Zhao, Y. Chen, and X. Fang Image segmentation with a fuzzy clustering algorithm based on ant-tree Signal Process 88 10 2008 2453 2462
15. G. Sun, Q. Liu, Q. Liu, C. Ji, and X. Li A novel approach for edge detection based on the theory of universal gravity Pattern Recognition 40 10 2007 2766 2775 (Pubitemid 46782848)
16. C. Lopez-Molina, H. Bustince, J. Fernandez, P. Couto, and B. De Baets A gravitational approach to edge detection based on triangular norms Pattern Recognition 43 11 2010 3730 3741
17. C. Lopez-Molina, H. Bustince, J. Fernandez, P. Couto, and B. De Baets On the use of t-conorms in the gravity-based approach to edge detection Ninth international conference on intelligent systems design and applications 2009 IEEE Pisa, Italy 1347 1352
18. Z. Wang, and Y. Quan A novel approach for edge detection based on the theory of electrostatic field Proceedings of international symposium on intelligent signal processing and communication systems 2007 IEEE Xiamen, China 260 263
19. Y. Zhang, and J.J. Gerbrands Transition region determination based thresholding Pattern Recognition Lett 12 1 1991 13 23
20. A.M. Groenewald, E. Barnard, and E.C. Botha Related approaches to gradient-based thresholding Pattern Recognition Lett 14 7 1993 567 572
21. Y. Zhang Transition region and image segmentation Acta Electron Sin 24 1 1996 12 17
22. C. Yan, N. Sang, and T. Zhang Local entropy-based transition region extraction and thresholding Pattern Recognition Lett 24 16 2003 2935 2941 (Pubitemid 37293323)
23. S. Liu, and J. Yang Survey on extraction methods of transition region Chin Eng Sci 9 9 2007 89 96
24. Q. Hu, S. Luo, Y. Qiao, and G. Qian Supervised grayscale thresholding based on transition regions Image Vision Comput 26 12 2008 1677 1684
25. Z. Li, and C. Liu Gray level difference-based transition region extraction and thresholding Comput Electr Eng 35 5 2009 696 704
26. D. Li, and Y. Du Artificial intelligence with uncertainty 2007 Chapman and Hall CRC Boca Raton
27. U. Van Kolck Effective field theory of nuclear forces Prog Part Nucl Phys 43 1999 337 418 (Pubitemid 30511046)
28. P.L. Rosin Unimodal thresholding Pattern Recognition 34 11 2001 2083 2096 (Pubitemid 32895207)
29. Y. Bazi, L. Bruzzone, and F. Melgani Image thresholding based on the em algorithm and the generalized gaussian distribution Pattern Recognition 40 2 2007 619 634 (Pubitemid 44635644)
30. A.Z. Arifina, and A. Asano Image segmentation by histogram thresholding using hierarchical cluster analysis Pattern Recognition Lett 27 13 2006 1515 1521 (Pubitemid 44037110)
31. A. Baddeley An error metric for binary images Robust computer vision: quality of vision algorithms 1992 Wichmann Verlag Karlsruhe
32. H.R. Tizhoosh Image thresholding using type-2 fuzzy sets Pattern Recognition 38 12 2005 2363 2372 (Pubitemid 41336705)
33. H. Bustince, E. Barrenechea, M. Pagola, J. Fernandez, and J. Sanz Comment on: Image thresholding using type-2 fuzzy sets. importance of this method Pattern Recognition 43 9 2010 3188 3192
34. M. Sezgin, and B. Sankur Selection of thresholding methods for nondestructive testing applications Proceedings of 2001 international conference on image processing 2001 IEEE Thessaloniki, Greece 260 263