Tugas Akhir Informatika

HAAR WAVELET UNTUK EKSTRAKSI FITUR ENERGI, STANDAR DEVIASI, DAN HISTOGRAM DALAM SISTEM TEMU KEMBALI CITRA

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Image retrieval initially uses a query in the form of text to search for images in the database. Image search using text query has a weakness because of the limited description of information stored or given by humans to the metadata on an inconsistent image that greatly affects the duration of searching an image in a database. Content based image retrieval (CBIR) is an image processing application to find the image sought in a large image database based on a query or user request. CBIR technique utilizes features that exist in images, namely color, texture, and shape. These features will be used as a basis for searching images in an image database. In this study the authors used the Haar wavelet method and histogram to look for texture and color features in the image. Then the features found are matched with features stored in the database using the Euclidian distance method. In this study the authors used the Corel dataset as research material. The dataset used is classified into 4 categories: bus, dinosaurus, flower, and horse. Each category consists of 100 images where 70% are training images and 30% are test images.

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Ketersediaan

2019264

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

Universitas Mataram : Fakultas Teknik Unram., 2019

Deskripsi Fisik

xiii;42 Hlm; Illus; 21x29 cm

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

NONE

Tipe Isi

other

Tipe Media

computer

Tipe Pembawa

audio disc

Edisi

Edisi 1

Subjek

-

Info Detail Spesifik

HAAR WAVELET UNTUK EKSTRAKSI FITUR ENERGI

Pernyataan Tanggungjawab

Adi Sugita Pandey

Versi lain/terkait

Lampiran Berkas

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