Songket Search
What's Songket Search APK?
Songket Search is a app for Android, It's developed by EEPIS Students author.
First released on google play in 8 years ago and latest version released in 6 years ago.
This app has 0 download times on Google play and rated as 5.00 stars with 3 rated times.
This product is an app in Education category. More infomartion of Songket Search on google play
The term "Songket" comes from the Malay word "Sungkit", which means "to hook" or "to gouge". Every motifs named and variations was derived from plants and animals as source of inspiration to create many patterns of songket, and each of songket patterns have a philosophy in form of rhyme that refers to the nature of the sources ofsongket patterns and that philosophy reflects to the beliefs and values of Malay culture.
In this Application, we propose a system to facilitate an retrieval of songket and the philosophy as a way to conserve Songket culture. We propose the system and collect information in image songket motif variations based feature extraction methods. On each image variation songket motifs, we Extracted philosophy of rhyme into impressions, and extracting color features of songket images using a 3D-Color Vector quantization (3D-CVQ), shape feature extraction songket image using HU Moments invariant. Then, we created an image search based on impressions, and impressions search based on image. The searches we do is based on color feature, shape feature and aggregation (combining colors and shapes feature).
In this Application, we propose a system to facilitate an retrieval of songket and the philosophy as a way to conserve Songket culture. We propose the system and collect information in image songket motif variations based feature extraction methods. On each image variation songket motifs, we Extracted philosophy of rhyme into impressions, and extracting color features of songket images using a 3D-Color Vector quantization (3D-CVQ), shape feature extraction songket image using HU Moments invariant. Then, we created an image search based on impressions, and impressions search based on image. The searches we do is based on color feature, shape feature and aggregation (combining colors and shapes feature).
