GrayLevel Co-ocurence Matrixuntuk Pengekstrasian Ciri Topeng Cirebon
Cirebon mask is one of the intangible cultural heritage in Indonesia. It is one of the prominent cultural assets from Cirebon and becoming one of the identity Cirebon culture. However, the current condition people tend to forget the cultural asset and lack of help from the government makes the Cirebon mask become the third-rate assets. Our concern lays on the extinction of this Mask. We want to implement digitation and automatic identification using image processing techniques. In this paper, we applied the Gray Level Co-occurrence Matrix for extracting the features. K-Nearest Neighbour as the classifier. The best result of this research is done by first order statistical features with the accuracy 40,67%
Detail Information
Bagian |
Informasi |
Pernyataan Tanggungjawab |
|
Pengarang |
Felix Indra Kurniadi - Personal Name
|
Edisi |
|
No. Panggil |
|
Subyek |
|
Klasifikasi |
|
Judul Seri |
|
GMD |
Jurnal |
Bahasa |
Indonesia |
Penerbit |
Universitas Multimedia Nusantara |
Tahun Terbit |
2020 |
Tempat Terbit |
Tangerang |
Deskripsi Fisik |
|
Info Detil Spesifik |
|
Citation
. (2020).GrayLevel Co-ocurence Matrixuntuk Pengekstrasian Ciri Topeng Cirebon.(Electronic Thesis or Dissertation). Retrieved from https://localhost/etd