Robust threshold estimation for images with unimodal histograms

Pattern Recognition Letters

Volumn 31, Issue 9, 2010, Pages 1010-1019

  Coudray, Nicolas ^a   Buessler, Jean Luc ^a   Urban, Jean Philippe ^a  

^a UNIVERSITÉ DE HAUTE ALSACE   (France)

Author keywords

Automatic thresholding; Edge detection; Image histogram; Unimodal distribution

Indexed keywords

AUTOMATIC THRESHOLDING; EDGE PIXELS; GRADIENT IMAGES; IMAGE HISTOGRAMS; NOISE DISTRIBUTION; PIECEWISE LINEAR REGRESSION; THRESHOLD ESTIMATION; UNIMODAL; UNIMODAL DISTRIBUTION;

GRAPHIC METHODS; PIECEWISE LINEAR TECHNIQUES; STATISTICAL METHODS;

EDGE DETECTION;

EID: 77951117411     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2009.12.025     Document Type: Article

References (17)

1. Allen M.P. Understanding Regression Analysis (1997), Kluwer Academic Publishers, New York
2. Antoine C., Lloyd M.D., and Antoine J. A robust thresholding algorithm for halftone dots. J. Pulp Paper Sci. (2001) 1-18
3. Baradez M.-O., McGuckin C.P., Forraz N., Pettengell R., and Hoppe A. Robust and automated unimodal histogram thresholding and potential applications. Pattern Recognition 37 6 (2004) 1131-1148
4. Coudray N., Beck F., Buessler J.-L., Korinek A., Karathanou A., Rémigy H., Kihl H., Engel A., Plitzko J.M., and Urban J.-P. Automatic acquisition and image analysis of 2D crystals. Microscopy Today 16 (2008) 48-49
5. Coudray, N., Buessler, J.-L., Kihl, H., Urban, J.-P., 2007. Multi-scale and first derivative analysis for edge detection in TEM images. In: 4th Internat. Conf. on Image Analysis and Recognition (ICIAR 2007), Springer Lecture Notes in Computer Science LNCS, vol. 4633. Montréal, Canada.
6. Henstock, P.V., Chelberg, D.M., 1996. Automatic gradient threshold determination for edge detection using a statistical model. A description of the model and comparison of algorithms. Purdue Libraries. Purdue, Indiana, USA, School of Electrical And Computing Engineering, Purdue University, 33.
7. Hou Z., Hu Q., and Nowinski W.L. On minimum variance thresholding. Pattern Recognition Lett. 27 14 (2006) 1732-1743
8. Lindeberg, T., Bretzner, L., 2003. Real-time scale selection in hybrid multi-scale representations. Scale-Space'03, Isle of Skye, Scotland, Springer Lecture Notes in Computer Science.
9. Medina-Carnicer R., Madrid-Cuevas F.J., Fernández-Garci{dotless}́a N.L., and Carmona-Poyato A. Evaluation of global thresholding techniques in non-contextual edge detection. Pattern Recognition Lett. 26 10 (2005) 1423-1434
10. Nakib A., Oulhadj H., and Siarry P. Non-supervised image segmentation based on multiobjective optimization. Pattern Recognition Lett. 29 2 (2008) 161-172
11. Otsu N. A threshold selection method from gray-level histograms. IEEE Trans. Systems Man Cybernet. 9 1 (1979) 62-66
12. Pitman J. Probability (1993), Springer-Verlag, New York
13. Rosin P.L. Unimodal thresholding. Pattern Recognition 34 11 (2001) 2083-2096
14. Tsai D.-M. A fast thresholding selection procedure for multimodal and unimodal histograms. Pattern Recognition Lett. 16 6 (1995) 653-666
15. Voorhees, H., Poggio, T., 1987. Detecting blobs as textons in natural images. Image Understanding Workshop, Los Angeles, Science Applications International Corporation, McLean, VA.
16. Wiltschi K., Pinz A., and Lindeberg T. An automatic assessment scheme for steel quality inspection. Machine Vision Appl. 12 3 (2000) 113-128
17. Zack G.W., Rogers W.E., and Latt S.A. Automatic measurement of sister chromatid exchange frequency. J. Histochem. Cytochem. 25 7 (1977) 741-753