Parameter optimization for image segmentation algorithms: A systematic approach

Lecture Notes in Computer Science

Volumn 3687, Issue PART II, 2005, Pages 11-19

  Singh, Maneesha ^a   Singh, Sameer ^a   Partridge, Derek ^b  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATION; EDGE DETECTION; IMAGE ANALYSIS; OPTIMIZATION; PARAMETER ESTIMATION; PATTERN RECOGNITION; PROBLEM SOLVING; EXPLOSIVES;

AUTOMATICALLY SETTING; IMAGE EDGE ANALYSIS; PARAMETER OPTIMIZATION; VISION COMMUNITY; ALGORITHM PARAMETERS; BACUS; IMAGE SEGMENTATION ALGORITHM; PROBLEM-BASED; VISION COMMUNITIES;

IMAGE SEGMENTATION;

EID: 27244445224     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11552499_2     Document Type: Conference Paper

References (23)

1. J.C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, New York, 1981.
2. M. Borsotti, P. Campadelli, R. Schettini, "Quantitative evaluation of color image segmentation results", Pattern Recognition Letters, Vol. 19, pp. 741.747, 1998.
3. Carvalho, Gau and Herman, "Algorithms for Fuzzy Segmentation", Pattern Analysis and Applications, Vol. 2, No. 1, pp. 73-81, 1999.
4. D.L. Davies and D.W. Bouldin, "A cluster separation measure", IEEE Trans on Pattern Analysis and Machine Intelligence, vol. 1, no. 2, 1979.
5. R.O. Duda, P.E. Hart and D.G. Stork, Pattern classification, John Wiley, 2001.
6. E.M. Gurari, and H. Wechsler, "On the Difficulties Involved in the Segmentation of Pictures", PAMI(4), No. 3, May 1982, pp. 304-306.
7. R.H. Haralick, L.G. Shapiro, "Image Segmentation Techniques", Computer Vision, Graphics, and Image Processing, 29, 100-132, 1985.
8. Hauta-Kasari, Parkkinen and Jaaskelainen, "Multi-spectral Texture Segmentation Based on the Spectral Cooccurrence Matrix", Pattern Analysis and Applications, Vol. 2, No. 4, pp. 275-284, 1999.
9. Kampke and Kober, "Non Parametric Image Segmentation", Pattern Analysis and Applications, Vol. 1, No. 3, pp. 145-154, 1998.
10. T. Kohonen, Self-organisation and associative memory, Springer, 1988.
11. S.U. Lee, S.Y. Chung, R.H. Park, "A comparative performance study of several global thresholding techniques for segmentation", Computer Vision Graphics and Image Processing, vol. 52, pp. 171-190, 1990.
12. M.D. Levine, and A.M. Nazif, "An Optimal Set of Image Segmentation Rules", Pattern Recognition Letters, vol. 2, 1984, pp. 243-248.
13. M.D. Levine, and A.M. Nazif, "Rule-Based Image Segmentation: A Dynamic Control Strategy Approach", CVGIP(32), No. 1, October 1985, pp. 104-126.
14. A.M. Nazif, and M.D. Levine, "Low Level Image Segmentation: An Expert System", IEEE PAMI(6), No. 5, September 1984, pp. 555-577.
15. N.R.Pal and S.K. Pal, "A Review on Image Segmentation Techniques", Pattern Recognition, vol. 26, issue 9, pp. 1277-1294, 1994.
16. T. Pavlidis, "Low Level Image Segmentation: An Expert System", Pattern Analysis and Machine Intelligence, Vol. 8, No. 5, 1986, pp. 675-676.
17. M. Singh, "A Machine Learning Approach for Image Enhancement and Segmentation for Aviation Security", PhD Thesis, University of Exeter, 2004.
18. S. Singh and M. Singh, "A novel measure of estimating colour purity of image regions", IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, Venice, Italy, 21-22 July, 2004.
19. J.S. Weszka, A. Rosenfeld, "Threshold evaluation techniques", IEEE Transactions on Systems, Man and Cybernetics, vol. 8, pp. 622-629, 1978.
20. W.A. Yasnoff, W.A. Mui, and J.W. Bacus, "Error Measures in Scene Segmentation", Pattern Recognition, vol. 9, No. 4, 1977, pp. 217-231.
21. Yuan, Goldman and Moghaddamzadeh, "Segmentation of Colour Images with Highlights and Shadows sing Fuzzy-like Reasoning", Pattern Analysis and Applications, Vol. 4, No. 4, pp. 272-282, 2001.
22. Y.J. Zhang, "A Survey on Evaluation Methods for Image Segmentation", Pattern Recognition, vol. 29, No. 8, August 1996, pp. 1335-1346.
23. http://www.dcs.ex.ac.uk/research/pann/pecva/segment/surveys.htm