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 |