Towards automating visual in-field monitoring of crop health

Proceedings - International Conference on Image Processing, ICIP

Volumn 2015-December, Issue , 2015, Pages 3906-3910

  Gibson, David ^a   Burghardt, Tilo ^a   Campbell, Neill ^a   Canagarajah, Nishan ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

ecological informatics; log Gabor filter; nearest neighbour voting; randomised forests

Indexed keywords

EID: 84956683648     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2015.7351537     Document Type: Conference Paper

References (18)

1. WHO, "http: //www. who. int/globalchange/ publications/climatechangechap7. pdf, ".
2. FERA, "http: //www. cropmonitor. co. uk/, ".
3. J. K. Patil and R. Kumar, "Advances in image processing for detection of plant disease, " in Journal of Advanced Bioinformatics Applications and Research, 2011, vol. 2.
4. A. Meunkaewjinda, N. Ratchasima, P. Kumsawat, K. Attakitmongcol, and A. Srikaew, "Grape leaf disease detection from color imagery using hybrid intelligent system, " in Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008.
5. K. Wangab, S. Zhangab, Z. Wangab, Z. Liuab, and F. Yang, "Mobile smart device-based vegetable disease and insect pest recognition method, " in Intelligent Automation and Soft Computing, Special Issue on Intelligent Information Technology in Agriculture, 2013, vol. 19.
6. W. Luo, Spatial/Temporal Modelling of Crop Disease Data using High-Dimensional Regression, Ph. D. Thesis, Department of Statistics, 2008.
7. L. Wang, W. P. Sousa, and P. Gong, "Integration of object-based and pixel-based classification for mapping mangroves with ikonos imagery, " in International Journal of Remote Sensing, 2004, vol. 25, pp. 5655-5668.
8. B. Southall, B. F. Buxton, J. A. Marchant, and T. Hague, "On the performance characterisation of image segmentation algorithms: A case study, " in The Sixth European Conference on Computer Vision. Lecture Notes in Computer Science, 2000, vol. 1843, pp. 351-365.
9. N. Campbell and B. Thomas, "Automatic selection of gabor filters for pixel classification, " in Sixth International Conference on Image Processing and its Applications, 1997, pp. 761-765.
10. N. Rose, "Facial expression classification using gabor and log-gabor filters, " in IEEE Automatic Face and Gesture Recognition. IEEE, 2006, pp. 346-350.
11. P. Kovesi, "Edges are not just steps, " in The Fifth Asian Conference on Computer Vision. Lecture Notes in Computer Science, 2002, pp. 822-827, http: //www. csse. uwa. edu. Au/ pk/research/matlabfns/.
12. Y. Freund and R. E. Schapire, "A short introduction to boosting, " in Journal of Japanese Society for Artificial Intelligence, 1999, vol. 14, pp. 771-780.
13. F. Moosmann, E. Eric Nowak, and F. Jurie, "Randomized clustering forests for image classification, " in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, vol. 30, pp. 1632-1646.
14. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, "The pascal visual object classes (voc) challenge, " in International Journal of Computer Vision, 2010, vol. 88, pp. 303-338.
15. Matlab2014, "Treebagger class, ".
16. R. M Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification, " in IEEE Transactions on Systems, Man, and Cybernetics, 1973, vol. 62, pp. 610-621.
17. O. Boiman, E. Shechtman, and M. Irani, "In defense of nearest-neighbor based image classification, " in International Conference on Computer Vision and Pattern Recognition, 2008.
18. P. Siricharoen, B. Scotney, P. Morrow, G. Parr, D. Gibson, and N. Canagarajah, "Effects of different mixtures of features, colours and SVM kernels on wheat disease classification, " 2014.