Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/16634
metadata.conference.dc.title: Underwater fish shape recognition in Malaysian seawater by using chain code techniques algorithm in real time image processing
metadata.conference.dc.contributor.*: Atzroulnizam Bin Abu, Muhammad Saiful Bin Meh
Ahmad Makarimi Abdullah, Fatimah Abdul Hamid
Shareen Adlina, Noorazlina Mohamid Salih
metadata.conference.dc.subject: Fish recognition
Fish shape and texture
Image processing
Minimum sum of absolute differen
metadata.conference.dc.date.issued: 9-Oct-2017
metadata.conference.dc.description.abstract: A fish recognition system is to recognize the type of fish at sea taken using an underwater video camera. It is a computer vision application for automatically differentiating the species of fish. The system developed is to sort the type of fishes in Malaysian seawater. This paper proposed an algorithm of pattern recognition by using Matlab. The fish image recognition system is designed to differentiate the selected features of fish which are the shapes of the fish species. A Graphical User Interface (GUI) is being to represent the recognized fish species based on specific algorithm. The details of the fish are also stated in the GUI for operator information purpose. There are several process to make sure the final image is cleared and the system able to identify the fished detected. The Minimum Sum of Absolute Difference (SAD) method is used to calculate the difference between the chain code and the input fish image. The experiment results using simple technique show an acceptable results. The efficiency of this system is about 72%. © 2006-2017 Asian Research Publishing Network (ARPN). All rights reserved.
metadata.conference.dc.identifier.uri: http://ir.unikl.edu.my/jspui/handle/123456789/16634
metadata.conference.dc.identifier.issn: 18196608
Appears in Collections:Journal Articles



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