| dc.contributor.author | Wong, Nicholez | |
| dc.contributor.author | Ali, Chekima | |
| dc.date.accessioned | 2012-08-03T08:34:30Z | |
| dc.date.available | 2012-08-03T08:34:30Z | |
| dc.date.issued | 2012-02-27 | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/20574 | |
| dc.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. | en_US |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
| dc.relation.ispartofseries | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) | en_US |
| dc.subject | Laser pest extraction system | en_US |
| dc.subject | Monitoring system | en_US |
| dc.subject | Image analysis techniques | en_US |
| dc.title | Image processing methods for a proposed laser pest extraction and monitoring system | en_US |
| dc.type | Working Paper | en_US |
| dc.publisher.department | School of Mechatronic Engineering | en_US |
