Tracking of Plant Water Stress Via an Automated Optical and IR Image Registration

Print
IJCA Proceedings on National Conference on Computer Science and Information Technology
© 2018 by IJCA Journal
NCCSIT 2017 - Number 1
Year of Publication: 2018
Authors:
Megha B. Halasangimath
Nikita B. Halasangimath

Megha B Halasangimath and Nikita B Halasangimath. Article: Tracking of Plant Water Stress Via an Automated Optical and IR Image Registration. IJCA Proceedings on National Conference on Computer Science and Information Technology NCCSIT 2017(1):1-7, September 2018. Full text available. BibTeX

@article{key:article,
	author = {Megha B. Halasangimath and Nikita B. Halasangimath},
	title = {Article: Tracking of Plant Water Stress Via an Automated Optical and IR Image Registration},
	journal = {IJCA Proceedings on National Conference on Computer Science and Information Technology},
	year = {2018},
	volume = {NCCSIT 2017},
	number = {1},
	pages = {1-7},
	month = {September},
	note = {Full text available}
}

Abstract

Analysis of canopy temperature is significant method for monitoring the plant water status. Increase in leaf temperature detected by infrared thermography largely reflect stomatal closure as a measure of "stress". Hence this can be used as a meter for irrigation scheduling. The proposed system's key phase is where the optical image and its related infrared image are automatically registered which resolves problem of quantifying the data of the scene. From the plant canopy an optical image is captured and is registered with its corresponding IR image. The work here involves applying the Canny Edge Detection algorithm and variable resolution based on normalized cross correlation algorithm for improved image registration process while maintaining biological significance. The outcomes of the study exhibit the efficiency and reliability of the proposed system with a substantial reduction of computational complexity.

References

  • Jones, H. G. (1999a). Use of thermography for quantitative studies of spatial and temporal variation of stomatal conductance over leaf surfaces. Journal of Plant, Cell and Environment, Vol. 22, No. 9, (September 1999)
  • Jones, H. G. (1999b). Use of infrared thermometry for estimation of stomatal conductance as a possible aid to irrigation scheduling. Journal of Agricultural and Forest Meteorology, Vol. 95, No. 3, (June 1999), pp. 139-149, ISSN 14619563.
  • Jones, H. G. , Leinonen, I. (2003). Thermal imaging for the study of plant water relations. Journal of Agricultural Meteorology, Vol. 59, No. 3, (September 2003), pp. 205–217, ISSN 0021-8588.
  • Guilioni, L. ; Jones, H. G. ; Leinonen, I. ; Lhomme, J. P. (2008). On the relationships between stomatal resistance and leaf temperatures in thermography. Journal of Agricultural and Forest Meteorology, Vol. 148, No. 11, (October 2008), pp. 1908 – 1912, ISSN 1461-9563.
  • Grant, O. ; Tronina1, L. ; Jones, H. G. ; Chaves, M. M. (2007). Exploring thermal imaging variables for the detection of stress responses in grapevine under different irrigation regimes. Journal of Experimental Botany, Vol. 58, No. 4, (March 2007),
  • Wheaton, A. D. , Cooley, N. , Dunn, G. , Goodwin, I. , Needs, S. (2007). Evaluation of infrared thermography to determine the crop water status of Cabernet Sauvignon grapevines. Proceedings of the 13th Australian Wine Industry Technical Conference, Adelaide, 28 July – 2 August, 2007.
  • Wang, X. Z. ; Yang, W. P. ; Wheaton A. D. ; Cooley, N. ; Moran, B. (2010a). Automated canopy temperature estimation via infrared thermography: A first step towards automated plant water stress monitoring. Journal of Computers and Electronics in Agriculture, Vol. 73, No. 1, (July 2010), pp. 74-83, ISSN 0168-1699.
  • Wang, X. Z. ; Yang, W. P. ; Wheaton A. D. ; Cooley, N. ; Moran, B. (2010b). Efficient Registration of Optical and IR images for Automatic Plant Water Stress Assessment. Journal of Computers and Electronics in Agriculture, Vol. 74, No. 2, (November 2010), pp. 230-237, ISSN 0168-1699.
  • Tsai, D. M. ; Lin, C. T. (2003). Fast normalized cross correlation for defect detection. Journal of Pattern Recognition Letters, Vol. 24, No. 15, (November 2003), pp. 2625–2631, ISSN 0167-8655.
  • Roche, A. ; Malandain, G. ; etc. (1998). The correlation ratio as a new similarity measure for multimodal image registration. Medical Image Computing and Computer Assisted Intervention - MICCAI'98, Vol. 1496, pp1115-1124, Boston, USA, October, 1998.
  • Klein S. ; Staring, M. ; Pluim, J. P. W. (2007). Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines. IEEE Transactions on Image Processing, Vol. 16, No. 12, (December 2007), pp. 2879-2890, ISSN 1057-7149.
  • Chen, J. ; Tian, J. (2009). Real-time multi-modal rigid registration based on a novel symmetric-SIFT descriptor. Progress in Natural Science, Vol. 19, No. 5, (May 2009), pp. 643–651, ISSN 1002-0071.
  • Yu, L. ; Zhang D. R. ; Holden E. J. (2008). A fast and fully automatic registration approach based on point features for multi-source remote-sensing images. Journal of Computers & Geosciences, Vol. 34, No. 7, (July 2008), pp. 838–848, ISSN 00983004.
  • Althof, R. J. ; Wind, M. G. J. ; Dobbins, J. T. (1997). A Rapid and Automatic Image Registration Algorithm with Subpixel Accuracy, IEEE TRANS ON MEDICAL IMAGING, Vol. 16, No. 3, (June 1997), pp. 308-316, ISSN 0278-0062.
  • Bhagalia, R. ; Fessler,J. A. ; Kim,B. (2009). Accelerated nonrigid intensity-based image registration using importance sampling. IEEE TRANS ON MEDICAL IMAGING, Vol. 28, No. 8, (August 2009), pp. 1208-1216, ISSN 0278-0062.
  • Yang, W. P. ; Wang, X. Z. ; etc. (2009). Automatic optical and IR image fusion for plant water stress analysis, Proceedings of the 12th International Conference on Information Fusion, pp. 1053-1059, Seattle, 6-9 July 2009.
  • Barnea DI, Silverman HF. A Class of algorithm for fast digital image registration. IEEE Trans Comput 1972;21(2):179–86.
  • Ko Sung-Jea, Lee Sung-Hee, Jeon Seung-Won, Kang Eui-Sung. Fast digital image stabilizer based on Gray-coded bit-plane matching. IEEE Trans Consumer Electron 1999;45(3):598–603.