Efficient registration of optical and IR images for automatic plant water stress assessment

Computers and Electronics in Agriculture

Volumn 74, Issue 2, 2010, Pages 230-237

  Wang, Xuezhi ^a   Yang, Weiping ^b   Wheaton, Ashley ^a   Cooley, Nicola ^a   Moran, Bill ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Automatic controlled irrigation; Canopy temperature estimation; Crop water stress index; Plant water status; Thermal and optical image registration

Indexed keywords

AUTOMATIC CONTROLLED IRRIGATION; CANOPY TEMPERATURE; CROP WATER STRESS INDEX; OPTICAL IMAGE; PLANT WATER;

ALGORITHMS; ALIGNMENT; CROPS; GEOMETRICAL OPTICS; IMAGE REGISTRATION; INFRARED IMAGING; IRRIGATION; OPTICAL CORRELATION; PLANTS (BOTANY); TEMPERATURE DISTRIBUTION;

EXTRACTION;

AGRICULTURAL TECHNOLOGY; ALGORITHM; CANOPY; CONTROL SYSTEM; INFRARED IMAGERY; IRRIGATION SYSTEM; OPTICAL METHOD; PLANT WATER RELATIONS; SOFTWARE; WATER USE;

EID: 78049268998     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2010.08.004     Document Type: Article

References (20)

1. Anuta P.F. Digital registration of multispetral video inagery. Journal of Society of Photo-Optical Instrumentation Engineers 1969, 7:168-175.
2. Huttenlocher D.P., Klanderman G.A., Rucklidge W.J. Comparing images using the Hausdorff distance. IEEE Transactions on Pattern Analysis and Machine Intelligence 1993, 15(September (9)):850-863.
3. Jones H.G. Use of infrared thermometry for estimation of stomatal conductance as a possible aid to irrigation scheduling. Journal of Agricultural and Forest Meteorology 1999, 95:139-149.
4. Jones H.G. Use of thermography for quantitative studies of spatial and temporal variation of stomatal conductance over leaf surfaces. Journal of Plant Cell And Environment 1999, 22(9):1043-1055.
5. Jones H.G., Leinonen I. Thermal imaging for the study of plant water relations. Journal of Agricultural Meteorology 2003, 59(3):205-217.
6. Jones H.G. Irrigation scheduling: advantages and pitfalls of plant-based methods. Journal of Experimental Botany, Water-Saving Agriculture Special Issue 2004, 55(407):2427-2436.
7. Klein S. Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines. IEEE Transactions on Image Processing 2007, 16(12):2879-2890.
8. Lau Y.H., Braun M., Hutton B.F. Non-rigid image registration using a median-filtered coarse-to-fine displacement field and a symmetric correlation ratio. Journal of Physics in Medicine and Biology 2001, 46:1297-1319.
9. Liu H., Guo B., Feng Z. Pseudo-Log-Polar Fourier transform for image registration. IEEE Signal Processing Letters 2006, 13(1):17-20.
10. Lowe D.G. Object recognition from local scale-invariant features. Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2 1999, 1150-1157.
11. Maes F., Collignon A., Vandermeulen D., Marchal G., Suetens P. Multimodality image registration by maximisation of mutual information. IEEE Transactions on Medical Imaging 1997, 16(April (2)):187-198.
12. Pratt W.K. Correlation techniques of image registration. IEEE Transactions on AES 1974, AES-10(3):353-358.
13. Roche A., Malandain G., Pennec X., Ayache N. The correlation ratio as a new similarity measure for multimodal image registration. Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'98), vol. 1496 1998, 1115-1124.
14. Rueckert D., Sonoda L.I., Hayes C., Hill D.L.G., Leach M.O., Hawkes D.J. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Transactions on Medical Imaging 1999, 18(August (8)):712-721.
15. Tsai D.M., Lin C.T. Fast normalized cross correlation for defect detection. Journal of Pattern Recognition Letters 2003, 24:2625-2631.
16. Viola P., Wells W.M. Alignment by maximization of mutual information. International Journal of Computer Vision 1997, 24(2):137-154.
17. Wang X., Yang W., Wheaton A., Cooley N., Moran B. Automated canopy temperature estimation via infrared thermography: a first step towards automated plant water stress monitoring. Journal of Computers and Electronic in Agriculture 2010, 73(1):74-83.
18. Wheaton A.D., Cooley N., Dunn G., Goodwin I., Needs S. Evaluation of infrared thermography to determine the crop water status of Cabernet Sauvignon grapevines. Poster Paper of 13th Australian Wine Industry Technical Conference 2007.
19. Yang W., Wang X., Wheaton A., Cooley N., Moran B. Automatic optical and IR image fusion for plant water stress analysis. Proceedings of the 12th International Conference on Information Fusion 2009, 1053-1059.
20. Zitová B., Flusser J. Image registration methods: a survey. Journal of Image and Vision Computing (Elsevier) 2003, 21:977-1000.