Weed leaf image segmentation by deformable templates

Journal of Agricultural and Engineering Research

Volumn 80, Issue 2, 2001, Pages 139-146

  Manh, A G ^a   Rabatel, G ^a   Assemat, L ^a   Aldon, M J ^a  

^a CEMAGREF   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALOPECURUS PRATENSIS; SETARIA VIRIDIS;

EID: 0035198207     PISSN: 00218634     EISSN: None     Source Type: Journal    
DOI: 10.1006/jaer.2001.0725     Document Type: Article

References (37)

1. Weed competitivity: Definitions, limits and perspectives
2. Reduced input of herbicides by use of optoelectronic sensors
3. Prescription maps for spatially variable herbicide application in no-till corn
4. Remote sensing for identification of weeds in no-till corn
5. On the recognition of weeds by image processing
6. Weed competitivity in maize: An original experimentation to improve weeding strategy
7. Vehicle segmentation and classification using deformable templates
8. Spot Spraying
9. Algorithms for extracting leaf boundary information from digital images of plant foliage
10. Shape description of completely visible and partially occluded leaves for identifying plants in digital images
11. The use of local spectral properties of leaves as an aid for identifying weed seedlings in digital images
12. Application of machine vision to shape analysis in leaf and plant identification
13. Machine vision and image processing for plant identification
14. A prototype hand-held patch sprayer for killing weeds, activated by spectral differences in crop/weed canopies
15. Snakes: Active contour models
16. Economic importance of managing spatially heterogeneous weed populations
17. Real-time segmentation of plants and weeds
18. Multispectral analysis of agronomical images under outdoor light conditions
19. Light reflectance and remote sensing of weeds in agronomic and horticultural crops
20. Water pollution by pesticides in France
21. Textural imaging and discriminant analysis for distinguishing weeds for spot spraying
22. Neural network based classification of different weed species and crops
23. Validation of an operator-assisted module to measure weed and crop leaf cover by digital image analysis
24. Modelling plant leaf shape for plant recognition
25. Design of a Robotized, non-chemical weed controller
26. Region-based strategies for active contour models
27. Plant identification using color co-occurence matrices
28. The cost of counting and identifying weed seeds and seedlings
29. Color indices for weed identification under various soil, residue and lighting conditions
30. Plant species identification, size, and enumeration using machine vision techniques on near-binary images
31. Shape features for identifying young weeds using image analysis
32. Feature extraction from faces using deformable templates
33. Region Competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation
34. A review of spectral properties of plants and their potential use for crop/weed discrimination in rowcrops