KLASIFIKASI FERTILITAS TELUR DENGAN THERMAL IMAGING MENGGUNAKAN ANALISIS TEKSTUR GRAY LEVEL CO-OCCURRENCE MATRIX DAN SUPPORT VECTOR MACHINE

RAMADHAN, HIMAWAN and Sutarno, Sutarno (2019) KLASIFIKASI FERTILITAS TELUR DENGAN THERMAL IMAGING MENGGUNAKAN ANALISIS TEKSTUR GRAY LEVEL CO-OCCURRENCE MATRIX DAN SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

Thermal imaging is a technology used by utilizing radiant heat emitted by objects originating from thermal cameras. To produce a thermal imaging, a thermal camera is used, where this camera can produce an image that can read the temperature or heat of the captured object. In this thesis using the object egg, where the type of egg is a type of native chicken eggs. As for obtaining a dataset from the egg, the GLCM method and the RGB feature of the thermal object image of the egg are taken. And then the classification is done using the SVM method to see the percentage of the success of the datasets taken which are seen from the results of the trainig test and testing.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Thermal Imaging, Thermal camera, Telur Ayam Kampung, Gray Level Co-occurrence Matrix, Support Vector Machine
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. T Technology > TR Photography > TR250-265 Cameras
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 3749 not found.
Date Deposited:	19 Dec 2019 06:56
Last Modified:	19 Dec 2019 06:56
URI:	http://repository.unsri.ac.id/id/eprint/21988

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