PENGENALAN POLA BATIK MENGGUNAKAN METODE SIFT (Scale Invariant Feature Transform)

Fals, Deasi Hardiswastiana (2014) PENGENALAN POLA BATIK MENGGUNAKAN METODE SIFT (Scale Invariant Feature Transform). S1 thesis, Universitas Mercu Buana.

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Abstract

Batik merupakan kain tradisional dari Indonesia yang memiliki banyak motif. Dalam melakukan pengenalan motif batiknya pengguna membuat aplikasi melalui ekstraksi fitur terhadap fitur digital, motif batik dengan membandingkan antara citra batik batik dengan citra template. Fitur yang dihasilkan dalam tahapan ini akan sangat menentukan keakuratan suatu objek ketika dilakukan pengenalan. Data yang digunakan 20 citra batik nitik dan 20 citra batik truntum. Scale Invariant Feature Transform (SIFT) merupakan suatu metode yang memberikan fitur-fitur khas dan invarian terhadap berbagai jenis perubahan pada citra. Aplikasi ini secara khusus diuji untuk menemukan kecocokan antara citra batik dengan citra template, dan juga dilakukan perubahan skala dan rotasinya untuk mengetahui jumlah kecocokan yang terdeteksi. Kata kunci: Scale Invariant Feature Transform (SIFT), keypoint, batik Batik is a kind of traditional textile origin from Indonesia that has many designs. In introducing batik designs, the user has made an application through feature extraction toward digital feature of batik design through the comparing between batik image and template image. The features that has been produced in this phase will be decided the accurateness of the object. The data that has been used was 20 images of batik nitik and 20 images of batik truntun. SIFT is a kind of method that gives special features and invariant toward the various changes of images. This application has been tested to find out the harmony between batik image with template image, and make the changes of scale and changes of rotation to know the number of harmony that has been detected. Keyword: Scale Invariant Feature Transform (SIFT), keypoint, batik.

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 14 055
NIM/NIDN Creators: 41510010065
Uncontrolled Keywords: Scale Invariant Feature Transform (SIFT), keypoint, batik.
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000.01-000.09 Standard Subdivisions of Computer Science, Information and General Works/Subdivisi Standar Dari Ilmu Komputer, Informasi, dan Karya Umum
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: Admin Perpus UMB
Date Deposited: 25 Jun 2014 15:31
Last Modified: 24 Aug 2026 08:02
URI: http://repository.mercubuana.ac.id/id/eprint/12011

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