Identifikasi Citra Luka Abalon (Haliotis Asinina) Menggunakan Gray Level Co-Occurrence Matrix dan Klasifikasi Probabilistic Neural Network

dc.contributor.advisor	Kustiyo, Aziz
dc.contributor.advisor	Setyono, D E D
dc.contributor.author	Christianto, Michael
dc.date.accessioned	2014-04-17T02:37:41Z
dc.date.available	2014-04-17T02:37:41Z
dc.date.issued	2014
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/68591
dc.description.abstract	Wounded abalone causes a high mortality rate in abalone life and big loss for breeder. Nowadays, objects can be performed by processing digital images. In this research, Gray Level Co-occurrence Matrix (GLCM) is used to identify wounded abalone. Identification is conducted using the five elements of grayscale image: energy, homogeneity, contrast, correlation and entropy. The identification result using Probabilistic Neural Network (PNN) produce average accuracies of 85% using good images and 37% using bad images.	en
dc.language.iso	id
dc.title	Identifikasi Citra Luka Abalon (Haliotis Asinina) Menggunakan Gray Level Co-Occurrence Matrix dan Klasifikasi Probabilistic Neural Network	en
dc.subject.keyword	Probabilistic Neural Network	en
dc.subject.keyword	Level Co-occurrence Matrix	en
dc.subject.keyword	image identification	en
dc.subject.keyword	abalone	en