Feed forward neural network for solid waste image classification

Research Journal of Applied Sciences, Engineering and Technology

Volumn 5, Issue 4, 2013, Pages 1466-1470

  Zailah, W ^a   Hannan, M A ^a   Mamun, Abdulla Al ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Artificial neural network; Hough transforms; Image classification; Solid waste

Indexed keywords

HOUGH TRANSFORMS; NEURAL NETWORKS; SOLID WASTES;

DECISION GRAPHS; FEED FORWARD; INPUT SAMPLE; MONITORING SYSTEM; MUNICIPAL AUTHORITIES; NEURAL NETWORK LEARNING; NEUTRAL NETWORK; RECEIVER OPERATING CHARACTERISTICS; SUM SQUARED ERROR; TEACHING AND LEARNING; WASTE SYSTEMS;

IMAGE CLASSIFICATION;

EID: 84873551179     PISSN: 20407459     EISSN: 20407467     Source Type: Journal    
DOI: 10.19026/rjaset.5.4889     Document Type: Article

References (14)

1. Aouache, M., 2006. Development of an automatic machine vision system for weed control. M.Sc. Thesis, Faculty of Engineering, Universiti Kebangsaan Malaysia.
2. Arebey, M., M.A. Hannan, R.A. Begum and H. Basri, 2012. Solid waste bin level detection using gray level co-occurrence matrix feature extraction approach. J. Env. Manag., 104: 9-18.
3. Arebey, M., M.A. Hannan, H. Basri, R.A. Begum and H. Abdullah. 2011. Integrated technologies for solid waste binmonitoring system. Env. Monit. Assess., 117: 399-408.
4. Artzai, P., G. Ovidiu, M.I. Pedro, B. Aranzazu and P.F. Whelan, 2010. Automation of waste recycling using hyperspctral image analysis. IEEE Conference on Emerging Technologies and Factory Automation (ETFA), pp: 1-4
5. David, A.S., L. Gareth, N. David and R. Carl, 2010. A robotic welding system using image processing techniques and a CAD model to provide information to a multi-intelligent decision module. Emer. Group Publish., 4(30): 323-332.
6. Hamarneh, G., K. Althoff and R. Abu-Gharbieh, 1999. Automatic line detection. Project Report for the Computer Vision Course, Image Analysis Group, Department of Signals and Systems Chalmers University of Technology.
7. Hannan, M.A., M. Arebey, H. Basri and R.A. Begum, 2010. Intelligent solid waste bin monitoring and management system. Aust. J. Basic Appl. Sci., 4(10): 5314-5319.
8. Hannan, M.A., M. Arebey, R.A. Begum and H. Basri, 2011a. RFID and communication technologies for solid waste bin and truck monitoring system. Waste Manag., 31(12): 2406-2413.
9. Hannan, M.A., M. Arebey, H. Abdullah, R.A. Begum and H. Basri, 2011b. Solid waste truck monitoring and management using RFID, GIS and GSM. J. Appl. Sci. Res., 7(12): 1961-1964.
10. Jiazhi, P., M. Huang and H. Yong, 2007. Crop and weed image recognition by morphological operations and ANN model. IEEE Instrumentation and Measurement Technology Conference Proceedings (IMTC), pp: 1-4.
11. Negnevitsky, M., 2005. Artificial Intelligence a Guide to intelligent Systems. 2nd Edn., Addison Wesley, Edinburgh Gate.
12. Richard, C.D., 2006. Circuits, Signals and Speech and Image Processing: The Electrical Engineering Handbook. 3rd Edn., Taylor and Francis, Boca Raton.
13. Russell, S. and P. Norvig, 2003.Artificial Intelligence a Modern Approach. 2nd Edn., Prentice Hall Series in Artificial Intelligence, New Jersey.
14. Shylaja, S.S., K.N. Balasubramanya Murthy, S.N. Nischitch and R.S. Ajay, 2011. Feed forward neural network based eye localization and recognition using hough transform. Int. J. Adv. Comp. Sci. Appl., 2(3): 104-109.