Template matching of binary targets in grey-scale images: A nonparametric approach

Pattern Recognition

Volumn 30, Issue 7, 1997, Pages 1175-1182

  Fernandez X ^a  

^a Industrias de Optica ^*  (Spain)

Author keywords

Kolmogorov Smirnov; Nonparametric; Normalized correlation; Similarity measures; Template matching; Thresholding

Indexed keywords

ALGORITHMS; OPTIMIZATION; STATISTICAL METHODS;

GREY SCALE IMAGES; KOLMOGOROV SMIRNOV STATISTICS;

PATTERN RECOGNITION;

EID: 0031189180     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(96)00136-7     Document Type: Article

References (19)

1. J. D. Tubbs, A note on binary template matching, Pattern Recognition 22, 359-365 (1989).
2. D. Bloomberg and P. Maragos, Generalized hit-miss operations, Image Algebra and Morphological Image Processing SPIE 1350, 116-128 (1990).
3. J. Kittler and J. Illingworth, Minimum error thresholding, Pattern Recognition 19, 41-47 (1986).
4. T. Kurita, N. Otsu and N. Abdelmalek, Maximum likelihood thresholding based on population mixture models, Pattern Recognition 25, 1231-1240 (1992).
5. Y. Nakagawa and A. Rosenfeld, Some experiments on variable thresholding, Pattern Recognition 11, 191-204 (1979).
6. A. Rosenfeld, A. Kack, Digital Picture Processing (2nd Ed.) Academic Press, New York (1982).
7. D. Ballard and C. Brown, Computer Vision. Prentice-Hall, New Jersey (1982).
8. H.C. Schau, Kolmogorov-Smirnov test in mage processing, Optical Engineering 20(2), 275-280 (1981).
9. H.J. Eghbali, K-S test for detecting changes from Landsat imagery data, IEEE Trans. Syst. Man Cybern. SMC9, 17-23 (1979).
10. F. Moscheni and F. Dufaux, Regions merging based on robust statistic testing, Proc. Visual Communications and Image Process. SPIE 2727, 1118-1129 (1996).
11. Jianchang Mao and A.K. Kain, A self-organizing network for hyperellipsoidal clustering (HEC), IEEE Trans. Neural Networks 7, 16-29 (1996).
12. Chi-Hsin Wu and P. C. Doerschuck, Texture-based segmentation using Markov random field models and approximate Bayesian estimators based on trees, J. Mathematical Imaging and Vision 5(4), 277-286 (1995).
13. J. M. Jolion, P. Meer and S. Bataouche, Robust clustering with applications in computer vision, IEEE Trans. Pattern Analysis Mach. Intell. 13(8), 791-802 (1991).
14. 2 test for feature detection, Pattern Recognition 26, 1673-1682 (1993).
15. E. Chang and L. Kurz, Object detection and experimental designs, Computer Vis. Graphics and Image Process. 40, 147-168 (1987).
16. X. Fernandez and S. Bosch, Inspection of centring marks engraved on ophthalmic lenses by model-based numerical correlation, Optical Engineering 34(7), 2120-2125 (1995).
17. A. Rosenfeld, Image analysis: problems, progress and prospects, Pattern Recognition 17, 3-12 (1984).
18. T. Hettmansperger, Statistical Inference Based on Ranks. Wiley, New York (1984).
19. 1 norm template matching algorithm, Pattern Recognition 23, 411-421 (1990).