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Cited by 539

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Extraction of spots in biological images using multiscale products

Olivo-Marin, Jean-Christophe·2002·Pattern Recognition
DOI 10.1016/s0031-3203(01)00127-3
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Research works printed but not linked: 20

  1. Hémar, 1997, Dendroaxonal transcytosis of Transferrin in cultured hippocampal and sympathetic neurons, J. Neuroscience, 17, 9026, 10.1523/JNEUROSCI.17-23-09026.1997 · DOI · Paper page
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  3. Otsu, 1979, A threshold selection method from gray-level histograms, IEEE Trans. Syst., Man Cybern., 9, 377, 10.1109/TSMC.1979.4310076 · DOI · Paper page
  4. Bright, 1987, Two-dimensional top hat filter for extracting spots and spheres from digital images, J. Microsc., 146, 191, 10.1111/j.1365-2818.1987.tb01340.x · DOI
  5. Breen, 1991, Locating objects of interest within biological objects: the top hat box filter, J. Comp. Ass. Microsc., 3, 97
  6. Blanford, 1988, Bright-spot detection in pyramids, Comput. Vision Graphics Image Process., 43, 133, 10.1016/0734-189X(88)90058-8 · doi:10.1016/0734-189x(88)90058-8
  7. J.-C. Olivo, Automatic detection of spots in biological images by a wavelet-based selective filtering technique, Proceedings of IEEE third International Conference on Image Processing, ICIP’96, Lausanne, Switzerland, September 1996, pp. III: 311–314. · DOI
  8. Xu, 1994, Wavelet transform domain filters: a spatially selective noise filtration technique, IEEE Trans. Image Processing, 3, 747, 10.1109/83.336245 · DOI · Paper page
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  10. Mallat, 1992, Characterization of signals from multiscale edges, IEEE Trans. Pattern Anal. Machine Intell., 14, 710, 10.1109/34.142909 · DOI · Paper page
  11. Starck, 1995, Multiresolution support applied to image filtering and restoration, Graph. Models Image Process., 57, 420, 10.1006/gmip.1995.1036 · doi:10.1006/gmip.1995.1036
  12. Murtagh, 2000, Image processing through multiscale analysis and measurement noise modeling, Stat. Comput., 10, 95, 10.1023/A:1008938224840 · DOI
  13. Sadler, 1999, Analysis of multiscale products for step detection and estimation, IEEE Trans. Inform. Theory, 45, 1043, 10.1109/18.761341 · DOI
  14. Mallat, 1989, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Trans. Pattern Anal. Machine Intell., 11, 674, 10.1109/34.192463 · DOI · Paper page
  15. Daubechies, 1988, Orthogonal bases of compactly supported wavelets, Commun. Pure Appl. Math., XLI, 909, 10.1002/cpa.3160410705 · DOI · Paper page
  16. Olivo, 1994, Automatic threshold selection using the wavelet transform, CVGIP: Graph. Models Image Process, 56, 205, 10.1006/cgip.1994.1019 · doi:10.1006/cgip.1994.1019
  17. Deubler, 1997, A wavelet-based multiresolution method to automatically register images, J. Math. Imaging Vision, 7, 199, 10.1023/A:1008296026876 · doi:10.1023/a:1008296026876
  18. M. Holschneider, R. Kronland-Martinet, J. Morlet, A real-time algorithm for signal analysis with the help of the wavelet transform, in: J.M. Combes, A. Grossmann, Ph. Tchamitchian (Eds.), Wavelets: Time-Frequency Methods and Phase Space, Springer, Berlin, pp. 286–297, 1989. · DOI · Paper page
  19. Johstone, 1997, Wavelet threshold estimators for data with correlated noise, J. Roy. Statist. Soc. Ser. B, 59, 319, 10.1111/1467-9868.00071 · DOI · Paper page
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Cited by

Metadata

Authors
Olivo-Marin, J.-C.
Venue
Pattern Recognition
Publisher
Elsevier BV
Published
2002-09
Volume
35
Issue
9
Pages
1989-1996
ISSN
0031-3203 (ISSN-L)
DOI
10.1016/s0031-3203(01)00127-3
OpenAlex
W1995583822
Cited by
539
References
0
FWCI
3.40
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.