Weed detection utilizing quadratic polynomial and ROI techniques

2007 5th Student Conference on Research and Development, SCORED

Volumn , Issue , 2007, Pages

  Ishak, Asnor Juraiza ^b   Mokri, Siti Salasiah ^c   Mustafa, Mohd Marzuki ^c   Hussain, Aini ^a  

^a IEEE

^b UNIVERSITY PUTRA MALAYSIA   (Malaysia)

^c UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Feature extraction; Neural network; Pattern recognition; Plant identification; Region of interest

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; COMPUTER VISION; CURVE FITTING; DECISION MAKING; FEATURE EXTRACTION; HERBICIDES; IMAGE ENHANCEMENT; IMAGE RECOGNITION; POLYNOMIAL APPROXIMATION; POLYNOMIALS; PROBLEM SOLVING; QUADRATIC PROGRAMMING; RESEARCH AND DEVELOPMENT MANAGEMENT;

NEURAL NETWORK; PATTERN RECOGNITION; PLANT IDENTIFICATION; REGION OF INTEREST; RESEARCH AND DEVELOPMENT;

PEST CONTROL;

EID: 50449093453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCORED.2007.4451360     Document Type: Conference Paper

References (16)

1. th International Conf. on Pattern Recognition, pp. 1051-4651.
2. G.E. Cong and M.A. Songde, "Corner Enchancement in Curvature Scale Space," Journal of Pattern Recognition, Elsevier science, vol. 31, no.10, pp. 1491-1501, 1998.
3. K. Michael and R. Bogdan, "The Radon Transform Application for Accurate and Efficient Curve," in Proc 2004 of Telecommunications and Computer Science (TCSET), Ukraine, pp. 223-224.
4. th Annual Conference of the Advance School for Computing and Imaging (ASCI), The Netherlands, pp. 299-306.
5. G. Hongmei and W. Min, "Fingerprinting Curves," in Proc. 2004 of International Workshop on Digital Watermarking, Korea, pp. 13-28.
6. st ed, Elsevier, UK, 2002.
7. S. Jack, "On the Hough Technique for Curve Detection," IEEE Trans. Computer, vol. 27,no.10, pp. 923-926, 1978.
8. F.O. Clark, "Constrained Hough Transforms for Curve Detection," Journal of Computer Vision and Image Understanding, Academic Press, vol.73, no.3, pp. 329-345, 1999.
9. T. Xu, H. Q. Le, and S. Molloi, "Patient-specific Region of Interest Fluoroscopy Device for X-ray Dose Reduction," Journal of American College of Cardiology: Radiology, vol. 226(2), pp. 585-592, Feb. 2003.
10. W. S. Lee, and D. C. Slaughteer, "Plant Recognition using Hardware-Based Neural Network," ASAE Annual Meeting Presentaion, paper no. 983040, Jul. 1998.
11. S. Agili, L.P. Baskaran, G. Brinton, and Aldo Morales, "An Adaptive Method for Region of Interest Identification in Images,". Available: http://www288.pair.com/ciss/ciss/numbered/58.pdf.
12. Y. O. Kim, J. Paik, J. Heo, A. Koschan, B. Abidi, and M. Abidi, "Automatic Face Region Tracking for Highly Accurate face Recognition in Un constrained Environments," in Proc. 2003 of IEEE Conf. on Advanced Video and Signal Based Surveillance, pp. 29-36.
13. J. Jung, S. Joung, Y. Jang and J. Paik, "Enhancement of Region-of-Interest Coded Images by using Adaptive Regularization," in Proc. 2000 of Int. Conf. Consumer Electronics, vol. 1, pp. 62-63.
14. M. Seul, O. Lawrence, and M.J. Sammon, Practical Algorithms for Image Analysis, USA, 2001.
15. C.G. Rafael and E.W. Richard, "Digital Image Processing," Addison Wesley, USA 1993
16. nd ed, Wiley, USA 2000.