Local feature-based identification and classification for orchard insects

Biosystems Engineering

Volumn 104, Issue 3, 2009, Pages 299-307

  Wen, Chenglu ^a,b   Guyer, Daniel E ^b   Li, Wei ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b Michigan State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; NEAREST NEIGHBOR SEARCH; ORCHARDS; PEST CONTROL; SUPPORT VECTOR MACHINES;

10-FOLD CROSS-VALIDATION; CLASSIFICATION METHODS; CLASSIFICATION RESULTS; INSECT CLASSIFICATIONS; INTEGRATED PEST MANAGEMENT; INVARIANT LOCAL FEATURE; NEAREST MEAN CLASSIFIERS; SCALE INVARIANT FEATURE TRANSFORMS;

CLASSIFICATION (OF INFORMATION);

ARGYROTAENIA VELUTINANA; CHORISTONEURA ROSACEANA; CYDIA POMONELLA; GRAPHOLITA PRUNIVORA; HEXAPODA; PLATYNOTA IDAEUSALIS;

EID: 70350031070     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2009.07.002     Document Type: Article

References (32)

1. Arbuckle B; Schroeder S; Steinhage V; Wittmann D (2001). Biodiversity informatics in action: identification and monitoring of bee species using ABIS. In: Proceedings of 15th International Symposium for Environmental Protection, Zurich, pp 425-430.
2. Bernt S; Crowley J L (1996). Object recognition using multidimensional receptive field histograms. In: Fourth European Conference on Computer Vision, Cambridge, UK, pp 610-619.
3. Duin R P W; Juszczak P; Paclik P; Pekalska E; De Ridder D; Tax D M J (2004). PRTools4: A matlab toolbox for pattern recognition, Delft University of Technology.
4. Freeman W., and Adelson E. The design and use of steerable filters. IEEE Transaction on Pattern Analysis and Machine Intelligence 13 9 (1991) 891-906
5. Gaston K.J., and O'Neill M.A. Automated species identification: why not?. Philosophical Transactions of Royal Society B: Biological Sciences 359 1444 (2004) 655-667
6. Harris C; Stephens M (1988). A combined corner and edge detector. In: Proceedings of the Fourth Alvey Vision Conference, pp 147-151.
7. Hiroshi M., and Nayar S.K. Visual learning and recognition of 3-D objects from appearance. International Journal of Computer Vision 14 1 (1995) 5-24
8. Ke Y; Sukthankar R (2004). PCA-SIFT: a more distinctive representation for local image descriptors. In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2, pp 506-513.
9. Kadir T; Zisserman A; Brady M (2004). An affine invariant salient region detector. In: European Conference of Computer Vision, pp 228-241.
10. Larios N., Deng H., Zhang W., Sarpola M., Yuen J., Paasch R., Moldenke A., Lytle D.A., Correa S.R., Mortensen E., Shapiro L.G., and Dietterich T.G. Automated insect identification through concatenated histograms of local appearance features. Machine Vision and Applications 19 (2008) 105-123
11. Lazebnik S; Schmid C; Ponce J (2003). A sparse texture representation using affine-invariant neighborhoods. In: Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2, pp 319-324.
12. Li F; Perona P (2005). A Bayesian hierarchical model for learning natural scene categories. In: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2, pp 524-531.
13. Lindeberg T., and Garding J. Shape-adapted smoothing in estimation of 3-d shape cues from affine deformations of local 2-d brightness structure. Image and Vision Computing 15 6 (1997) 415-434
14. Lindeberg T. Feature detection with automatic scale selection. International Journal of Computer Vision 30 2 (1998) 79-116
15. Lowe D G (1999).Object recognition from local scale-invariant features. In: Proceedings of International Conference on Computer Vision, pp 1150-1157.
16. Lowe D.G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60 2 (2004) 91-110
17. Lucas S (1997). Face recognition with continuous n-tuple classifier. In: Proceedings of British Machine Vision Conference, pp 222-231.
18. Matas J; Chum O; Urba M; Pajdla T (2002). Robust wide-baseline stereo from maximally stable external regions. In: Proceedings of British Machine Vision Conference, pp 384-393.
19. Mayo M., and Watson A.T. Automatic species identification of live moths. Knowledge-Based Systems 20 (2007) 195-202
20. Mikolajvzyk K., and Schmid C. Scale and affine invariant interest point detectors. International Journal of Computer Vision 60 1 (2004) 63-83
21. Mikolajczyk K., and Schmid C. A performance evaluation of local descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 10 (2005) 1615-1630
22. Moravec H. Obstacle Avoidance and Navigation in the Real World by a Seeing Robot Rover (1980), Tech Report CMU-RI-TR-3 Carnegie-Mellon University, Robotics Institute
23. Pajak M (2000). Identification of British Bombus and Megabombus using DAISY, B.A. 3rd Year Honours Project, Oxford.
24. Rubner Y., Puzicha J., Tomasi C., and Buhmann J.M. Empirical evaluation of dissmilarity measures for color and texture. Computer Vision and Image Understanding 84 (2001) 25-43
25. Russell K N; Do M T; Platnick N I (2005). Introducing SPIDA-web: an automated identification system for biological species. Taxonomic Database Working Group Annual Meeting.
26. Smith S.M., and Brady J.M. SUSAN - a new approach to low level image processing. International Journal of Computer Vision 23 (1997) 45-78
27. Swain M., and Ballard D. Color indexing. International Journal of Computer Vision 7 1 (1991) 11-32
28. Tuytelaars T., and Van Gool L. Widely separated views based on affine invariant region. International Journal of Computer Vision 59 1 (2004) 61-85
29. Van Gool L; Moons T; Ungureanu D (1996). Affine/Photometric invariants for planar intensity patterns. In: Proceedings of Fourth European Conference on Computer Vision, pp 642-651.
30. Watson A.T., O'Neill M.A., and Kitching I.J. Automated identification of live moths (Macrolepidoptera) using igital automated identification system (DAISY). Systematic and Biodiversity 1 (2003) 287-300
31. Weeks P.J.D., O'Neill M.A., Gaston K.J., and Gauld I.D. Automating insect identification: exploring the limitations of a prototype system. Journal of Applied Entomology 123 (1999) 1-8
32. Wise J.C., Gut L.J., and Isaacs R. Michigan Fruit Management Guide (2007), Department of Plant Pathology and Department of Horticulture, Michigan State University