Constructing Modules for Determining Image Quality Criteria for DiTenun Mobile Application
Arlinta Barus, Muhamad Lukman, Abed Lubis, Hartanti Saragih, Grace Damanik
Available Online July 2019.
- Weaving,Ulos,DiTenun,Image Quality,Blur, Noise,FFT,PCA
- Woven cloth is the result of handicrafts in the form of fabric strung from thread using looms. One form of woven cloth originating from Sumatra is Ulos. Each Ulos has its own distinctive characteristics and meanings from every motif that is produced, but the variety of motifs produced is still limited so that much economic potential have not yet been exposed. Therefore, an application is being developed that would help the weavers to produce new Ulos motifs known as DiTenun. In developing this application, a feature is needed to capture Ulos images directly from a smartphone camera that will be taken by users. Images captured directly don’t always produce good image quality, so this study investigates the most proper classification of Ulos images by their quality. Determination of input image quality can be seen from two parameters that affect the quality of an image which are blur and noise. The two parameters are detected using two different algorithms namely FFT (Fast Fourier Transform) algorithm and PCA (Principal Component Analysis). The result shows that these two algorithms are overall effective in determining the three different categories of Ulos image quality. Of the three categories, bad categories have the highest accuracy scores
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Arlinta Barus AU - Muhamad Lukman AU - Abed Lubis AU - Hartanti Saragih AU - Grace Damanik PY - 2019/07 DA - 2019/07 TI - Constructing Modules for Determining Image Quality Criteria for DiTenun Mobile Application BT - 5th Bandung Creative Movement International Conference on Creative Industries 2018 (5th BCM 2018) PB - Atlantis Press SN - 2352-5398 UR - https://www.atlantis-press.com/article/125910919 ID - Barus2019/07 ER -