Biological feature isolation by wavelets in biospeckle laser images

Computers and Electronics in Agriculture

Volumn 58, Issue 2, 2007, Pages 123-132

  Braga Jr , R A ^a   Horgan, G W ^b   Enes, A M ^a   Miron, D ^a   Rabelo, G F ^a   Barreto Filho, J B ^a  

^a FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

^b ROWETT RESEARCH INSTITUTE   (United Kingdom)

Author keywords

Dynamic speckle; Laser; Wavelets

Indexed keywords

BIOSPECKLE ANALYSIS; COEFFICIENT FILTERING; NUISANCE COVARIATES; STATISTICAL APPROACH;

BIOACTIVITY; IMAGE RECONSTRUCTION; SPECKLE; STATISTICAL METHODS; WAVELET TRANSFORMS;

IMAGE ANALYSIS;

CROP; DATA SET; LASER; METHODOLOGY; SPERM; TRANSFORMATION; WAVELET;

ANIMALIA;

EID: 34447544103     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2007.03.009     Document Type: Article

References (22)

1. Alsberg B.K., Woodward A.M., and Kell D.B. An introduction to wavelet transforms for chemometricians: a time-frequency approach. Chemom. Intell. Lab. Syst. 37 (1997) 215-239
2. Arizaga R., Trivi M., and Rabal H. Speckle time evolution characterization by the co-occurence matrix analysis. Opt. Laser Technol. 31 (1999) 163-169
3. Asakura T., and Takai N. Dynamic laser speckles and their application to velocity measurements of the diffuse object. J. Appl. Phys. 25 (1981) 179-194
4. Braga Jr. R.A., Dal Fabbro I.M., Borem F.M., Rabelo G.F., Arizaga R., Rabal H.J., and Trivi M. Assessment of seed viability by laser speckle techniques. Biosyst. Eng. 86 (2003) 287-294
5. Braga Jr. R.A., Rabelo G.F., Granato L.R., Santos E.F., Machado J.C., Arizaga R., Rabal H.J., and Trivi M. Detection of fungi in beans by the laser biospeckle techinique. Biosyst. Eng. 91 (2005) 465-469
6. Briers J.D. Wavelength dependence of intensity fluctuations in laser speckle patterns from biological specimens. Opt. Commun. 13 (1975) 324-326
7. Briers J.D. Speckle fluctuations and biomedical optics: implications and applications. Opt. Eng. 32 (1993) 277-283
8. Jakubauskas M.E., Legates D.R., and Kastens H. Crop identification using harmonic analysis of time-series AVHRR NDVI data. Comput. Eletron. Agric. 37 (2002) 127-139
9. Kenney R.M., Bergman R.V., and Cooper W.L. Minimal contamination techniques for breeding mares: technique and preliminary findings. Proc. Am. Assoc. Equine Pract. 21 (1975) 327-336
10. Nascimento, A.L., 2005. Biospeckle laser: Uma contribuicao para o desenvolvimento da tecnica na avaliacao biologica em meio liquido. In: Universidade Federal de Lavras (Ed.). Academic Press, Lavras.
11. Oulamara A., Tribillon G., and Duvernoy J. Biological activity measurement on botanical specimen surfaces using a temporal decorrelation effect of laser speckle. J. Mod. Opt. 36 (1989) 165-179
12. Pajuelo M., Baldwin G., Rabal H.J., Cap N., Arizaga R., and Trivi M. Bio-speckle assessment of bruising in fruits. Opt. Laser Eng. 40 (2003) 13-24
13. Park B., Lawrence K.C., Windham W.R., Chen Y.R., and Chao K. Discriminant analysis of dual-wavelength spectral images for classifying poultry carcasses. Comput. Eletron. Agric. 33 (2002) 219-231
14. Passoni I., Rabal H., and Arizmendi C.M. Characterizing dynamic speckle time series with the hurst coefficient concept. Fractals 12 (2004) 319-329
15. Passoni I., Dai Pra A., Rabal H., Trivi M., and Arizaga R. Dynamic speckle processing unsing wavelets based entropy. Opt. Comm. 246 (2005) 219-228
16. Rabelo, G.F., 2000. Avaliação da aplicação do speckle dinâmico no monitoramento da qualidade da laranja. In: Universidade de Campinas (Ed.). Academic Press, Campinas, 2000.
17. Ross D.A., Dhadwal S., and Foulkes J.A. Laser measurement of the motility of bull spermatozoa in an egg-yolk diluent. J. Reprod. Fertil. 67 (1983) 263-268
18. Tebaldi M., Angel L., Bolognini N., and Trivi M. Speckle interferometric technique to assess soap films. Opt. Commun. 229 (2004) 29-37
19. Torrence C., and Compo G.P. A practical guide to wavelet analysis. Bull. Am. Meteor. Soc. 79 (1998) 61-78
20. Xu Z., Joenathan C., and Khorana B.M. Temporal and spatial properties of the time-varying speckles of botanical specimens. Opt. Eng. 34 (1995) 1487-1502
21. Yang C.C., Chao K., Chen Y.R., and Early H.L. Systemically diseased chicken identification using multispectral images and region of interest analysis. Comput. Eletron. Agric. 49 (2005) 255-271
22. Zakharov P.V., and Zimnyakov D.A. Wavelet analysis of nonstationary speckle patterns. Proc. SPIE 4705 (2001) 203-207