Color-based Segmentation of Batik Using the L*a*b Color Space

Indonesian Batik has a variety of styles. Coloring techniques affect the color quality of batik. Color is very important to show staining breakthroughs. The colors R (Red) G (Green) and B (Blue) have a close color correlation level so that it is difficult to segment. Segmentation is the process of p...

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Main Author: Anita Sindar RM Sinaga
Format: Article
Language:English
Published: Politeknik Ganesha Medan 2019-03-01
Series:Sinkron
Online Access:https://jurnal.polgan.ac.id/index.php/sinkron/article/view/10102
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spelling doaj-42912704216d49858fcdcb0fbc56a2d82020-11-25T03:29:20ZengPoliteknik Ganesha MedanSinkron2541-044X2541-20192019-03-013217517910.33395/sinkron.v3i2.1010210102Color-based Segmentation of Batik Using the L*a*b Color SpaceAnita Sindar RM Sinaga0STMIK Penusa MedanIndonesian Batik has a variety of styles. Coloring techniques affect the color quality of batik. Color is very important to show staining breakthroughs. The colors R (Red) G (Green) and B (Blue) have a close color correlation level so that it is difficult to segment. Segmentation is the process of partitioning digital images into several segments. The segmentation process is carried out on 15 batik sample data. The first step, each sample is converted from RGB - XYZ - Lab color. The average ratio of Red, Green and Blue on the RGB color and XYZ color 1:10. Segmentation using L*a*b color, displays the composition of the sample data colors into six clusters: background, yellow, magenta, purple, red and green using the clustering method. This proposed work L*a*b color space is selected which is a homogeneous space for visual perception.https://jurnal.polgan.ac.id/index.php/sinkron/article/view/10102
collection DOAJ
language English
format Article
sources DOAJ
author Anita Sindar RM Sinaga
spellingShingle Anita Sindar RM Sinaga
Color-based Segmentation of Batik Using the L*a*b Color Space
Sinkron
author_facet Anita Sindar RM Sinaga
author_sort Anita Sindar RM Sinaga
title Color-based Segmentation of Batik Using the L*a*b Color Space
title_short Color-based Segmentation of Batik Using the L*a*b Color Space
title_full Color-based Segmentation of Batik Using the L*a*b Color Space
title_fullStr Color-based Segmentation of Batik Using the L*a*b Color Space
title_full_unstemmed Color-based Segmentation of Batik Using the L*a*b Color Space
title_sort color-based segmentation of batik using the l*a*b color space
publisher Politeknik Ganesha Medan
series Sinkron
issn 2541-044X
2541-2019
publishDate 2019-03-01
description Indonesian Batik has a variety of styles. Coloring techniques affect the color quality of batik. Color is very important to show staining breakthroughs. The colors R (Red) G (Green) and B (Blue) have a close color correlation level so that it is difficult to segment. Segmentation is the process of partitioning digital images into several segments. The segmentation process is carried out on 15 batik sample data. The first step, each sample is converted from RGB - XYZ - Lab color. The average ratio of Red, Green and Blue on the RGB color and XYZ color 1:10. Segmentation using L*a*b color, displays the composition of the sample data colors into six clusters: background, yellow, magenta, purple, red and green using the clustering method. This proposed work L*a*b color space is selected which is a homogeneous space for visual perception.
url https://jurnal.polgan.ac.id/index.php/sinkron/article/view/10102
work_keys_str_mv AT anitasindarrmsinaga colorbasedsegmentationofbatikusingthelabcolorspace
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