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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/20574

Title: Image processing methods for a proposed laser pest extraction and monitoring system
Authors: Wong, Nicholez
Ali, Chekima
Keywords: Laser pest extraction system;Monitoring system;Image analysis techniques
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: School of Mechatronic Engineering
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)
Abstract: A laser pest extraction system was proposed in this paper based on image analysis techniques for tracking and identification. High powered laser pointers were proposed and varying laser intensity will be applied based on types of pest detected. Classification is done based on two types of targeted pest. Firstly, the centroid of the pest are obtained from Sobel row edge detection methods and image subtraction methods. The output centroid of the pest edge are further analysed to locate the centroid of the pest. From the centroid, a portion of the pest image, 25 pixels are cropped and fed to the feed forward back propagation neural network for training.
Description: International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/20574
Appears in Collections:Conference Papers

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