Comparative evaluation of retrospective shading correction methods

Journal of Microscopy

Volumn 208, Issue 3, 2002, Pages 212-223

  Tomazevic D ^a   Likar, B ^a   Pernus F ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Comparison of algorithms; Image processing; Intensity variations; Performance evaluation; Quantitative microscopy; Shading correction

Indexed keywords

ENTROPY;

COMPARATIVE EVALUATIONS; COMPARISON OF ALGORITHM; CORRECTION METHOD; ENTROPY-MINIMIZATION METHODS; IMAGE FORMATION PROCESS; IMAGES PROCESSING; INTENSITY VARIATIONS; PERFORMANCES EVALUATION; QUANTITATIVE MICROSCOPY; SHADING CORRECTION;

IMAGE SEGMENTATION;

ARTICLE; ENTROPY; IMAGE DISPLAY; IMAGE PROCESSING; MICROSCOPE IMAGE; PRIORITY JOURNAL; PROSPECTIVE STUDY; RETROSPECTIVE STUDY; ALGORITHM; ANIMAL; CELL CULTURE; COMPARATIVE STUDY; EVALUATION; MELANOMA; METHODOLOGY; MICROSCOPY; MOUSE; MUSCLE CELL; ULTRASTRUCTURE;

ALGORITHMS; ANIMALS; ENTROPY; IMAGE PROCESSING, COMPUTER-ASSISTED; MELANOMA; MICE; MICROSCOPY; MUSCLE FIBERS; TUMOR CELLS, CULTURED;

EID: 0036885671     PISSN: 00222720     EISSN: 13652818     Source Type: Journal    
DOI: 10.1046/j.1365-2818.2002.01079.x     Document Type: Article

References (18)

1. Arnould, X., Coster, M., Chermant, J.L., Chermant, L., Chartier. T. & Elmoataz, A. (2001) Segmentation and grain size of ceramics. Image Anal. Stereol. 20, 131-135.
2. Condon, B.R., Patterson, J., Wyper, D., Jenkins, A. & Hadley, D.M. (1987) Image non-uniformity in magnetic resonance imaging: its magnitude and methods for its correction. Br. J. Radiol. 60, 83-87.
3. Dawant, B.M., Zijdenbos, A.P. & Margolin, R.A. (1993) Correction of intensity variations in MR images for computer-aided tissue classification. IEEE Trans. Med. Imaging. 12, 770-781.
4. Haralick, R.M, (1992) Performance characterization in image analysis: thinning, a case in point. Pattern Recogn. Lett. 13, 5-12.
5. Haralick, R.M., Sternberg, S.R. & Zhuang, X. (1987) Image analysis using mathematical morphology. IEEE Trans. Pattern Anal. Machine Intell. 9, 532-550.
6. Hoover, A., Jean-Baptiste, G., Jiang, X., Flynn, P.J., Bunke, H., Goldgof, D.B., Bowyer, K., Eggert, D.W., Fitzgibbon, A. & Fisher, R.B. (1996) An experimental comparison of range image segmentation algorithms. IEEE Trans. Pattern Anal. Machine Intell. 18, 673-688.
7. Inoué, S. (1986) Video Microscopy. Plenum Press, New York.
8. Jain, R.C. & Binford, T.O. (1991) Ignorance, myopia, and naivete in computer vision systems. Compnt. Vision Graph. Image Processing, 53, 112-117.
9. Lauschmann, H. & Nedbal, I. (2002) Auto-shape analysis of image textures in fractography. Image Anal Stereol. 21,139-144.
10. Likar, B., Maintz, J.B.A., Viergever, M.A. & Pernuš, F. (2000) Retrospective shading correction by entropy minimization. J. Microsc. 197, 285-295.
11. Likar, B. & Pernuš, F. (1999) Registration of serial transverse sections of muscle fibres. Cytometry. 37, 93-106.
12. Likar, B. & Pernuš, F. (2001) A hierarchical approach to elastic registration based on mutual information. Image Vision Computing, 19, 33-44.
13. Likar, B., Viergever, M.A. & Pernuš, F. (2001) Retrospective correction of MR intensity inhomogeneity by information minimization. IEEE Trans. Med. Imaging. 20, 1398-1410.
14. Parker, J.R. (1991) Grey level thresholding in badly illuminated images. IEEE Trans. Pattern Anal. Machine Intell. 13, 813-819.
15. Russ, J.C. (1995) The Image Processing Handbook. 2nd edn. IEEE Press, Boca Raton, Florida.
16. Sled. J.G., Zijdenbos, A.P. & Evans, A.C. (1998) A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans. Med. Imaging, 17, 87-97.
17. Yang, Y. & Yan, H. (2000) An adaptive logical method for binarization of degraded document images. Pattern Recogn. 33, 787-807.
18. Young. I.T., Gerbrands, J.J. & Vliet, L.J. (1998) Image Processing Fundamentals. The Digital Signal Processing Handbook (ed. by V. K. Madisetti and D. B. Williams), pp. 51.1-51.81. CRC Press. Boca Raton, Florida.