Image of TEMU KEMBALI CITRA BERBASIS ISI MENGGUNAKAN METODE MULTI TEKSTON HISTOGRAM DAN INVARIANT MOME

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TEMU KEMBALI CITRA BERBASIS ISI MENGGUNAKAN METODE MULTI TEKSTON HISTOGRAM DAN INVARIANT MOME

Image retrieval is an image search method by performing a comparison between the query image and the image contained in the database based on the existing information. This study proposes to save the characteristic of Indonesian batik, so the system can help in the prevention of claims from other countries. This study discusses the content-based image retrieval using Multi Texton Histogram (MTH) and Invariant Moment (IM). MTH is known as a method of describing the characteristics of the surface texture, and IM is a method that produces characteristic geometry of an object and the introduction of geometry that are independent of translation, rotation, and scaling. This study used 10,000 each Batik and Corel images as datasets. The system will take random sample of 7,000 images as training data and the rest is used as the testing data. As the result, Batik Dataset produces precision of 99.75% and a recall of 14.25%. While Corel Dataset produces precision of 36.63% and a recall of 5.23%. The system generates a better performance in the Batik dataset because batik texture is monotonous. While, the Corel dataset has more diversified of the shape and texture.

Ketersediaan
2019279006.68Ram.tTersedia
Informasi Detail
Judul Seri
-
No. Panggil
006.68Ram.t
Penerbit
Universitas Mataram : Fakultas Teknik Unram.,
Deskripsi Fisik
xii;35 Hlm;Illus;21x29 cm
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
006.68
Tipe Isi
other
Tipe Media
computer
Tipe Pembawa
audio disc
Edisi
Edisi 1
Subjek
MULTI TEKSTON HISTOGRAM
: Batik, Corel, Image Retrieval, multi texton hist
invariant moment
Info Detail Spesifik
MULTI TEKSTON HISTOGRAM DAN INVARIANT MOMENT
Pernyataan Tanggungjawab
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Tidak tersedia versi lain

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