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Object Feature Extraction of Songket Image Using Chain Code Algorithm

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@article{IJASEIT1479,
   author = {- Yuhandri and Sarifuddin Madenda and Eri Prasetyo Wibowo and - Karmilasari},
   title = {Object Feature Extraction of Songket Image Using Chain Code Algorithm},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {1},
   year = {2017},
   pages = {235--241},
   keywords = {songket; image color segmentation; binary; mathematical morphology; moore; chain code},
   abstract = {The study was aimed at determining the feature of a motif found in a Songket image in order to make the object detectable and readable. The method used was image color segmentation in the form of a process of segmentation of the image area based on the similarity in colors, which was continued with the binary process that aims to change the image into binary form (0 and 1), so that it only has two colors namely black and white. This study also used mathematical morphology in detecting objects, by using dilation operation and filling holes. After the process of mathematical morphology was completed, the next process was motif extraction by applying moore contour tracking algorithms and the development of chain code algorithms. The results of the process carried out showed that the development chain code algorithm can generate the number of objects, the length of chain code, and probable value of rate of appearances of each chain code in a motif, despite there are some objects in a motif. Then the values are stored into the database as The Feature of Songket Motifs.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1479},
   doi = {10.18517/ijaseit.7.1.1479}
}

EndNote

%A Yuhandri, -
%A Madenda, Sarifuddin
%A Wibowo, Eri Prasetyo
%A Karmilasari, -
%D 2017
%T Object Feature Extraction of Songket Image Using Chain Code Algorithm
%B 2017
%9 songket; image color segmentation; binary; mathematical morphology; moore; chain code
%! Object Feature Extraction of Songket Image Using Chain Code Algorithm
%K songket; image color segmentation; binary; mathematical morphology; moore; chain code
%X The study was aimed at determining the feature of a motif found in a Songket image in order to make the object detectable and readable. The method used was image color segmentation in the form of a process of segmentation of the image area based on the similarity in colors, which was continued with the binary process that aims to change the image into binary form (0 and 1), so that it only has two colors namely black and white. This study also used mathematical morphology in detecting objects, by using dilation operation and filling holes. After the process of mathematical morphology was completed, the next process was motif extraction by applying moore contour tracking algorithms and the development of chain code algorithms. The results of the process carried out showed that the development chain code algorithm can generate the number of objects, the length of chain code, and probable value of rate of appearances of each chain code in a motif, despite there are some objects in a motif. Then the values are stored into the database as The Feature of Songket Motifs.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1479
%R doi:10.18517/ijaseit.7.1.1479
%J International Journal on Advanced Science, Engineering and Information Technology
%V 7
%N 1
%@ 2088-5334

IEEE

- Yuhandri,Sarifuddin Madenda,Eri Prasetyo Wibowo and - Karmilasari,"Object Feature Extraction of Songket Image Using Chain Code Algorithm," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 1, pp. 235-241, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.1.1479.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Yuhandri, -
AU  - Madenda, Sarifuddin
AU  - Wibowo, Eri Prasetyo
AU  - Karmilasari, -
PY  - 2017
TI  - Object Feature Extraction of Songket Image Using Chain Code Algorithm
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 1
Y2  - 2017
SP  - 235
EP  - 241
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - songket; image color segmentation; binary; mathematical morphology; moore; chain code
N2  - The study was aimed at determining the feature of a motif found in a Songket image in order to make the object detectable and readable. The method used was image color segmentation in the form of a process of segmentation of the image area based on the similarity in colors, which was continued with the binary process that aims to change the image into binary form (0 and 1), so that it only has two colors namely black and white. This study also used mathematical morphology in detecting objects, by using dilation operation and filling holes. After the process of mathematical morphology was completed, the next process was motif extraction by applying moore contour tracking algorithms and the development of chain code algorithms. The results of the process carried out showed that the development chain code algorithm can generate the number of objects, the length of chain code, and probable value of rate of appearances of each chain code in a motif, despite there are some objects in a motif. Then the values are stored into the database as The Feature of Songket Motifs.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1479
DO  - 10.18517/ijaseit.7.1.1479

RefWorks

RT Journal Article
ID 1479
A1 Yuhandri, -
A1 Madenda, Sarifuddin
A1 Wibowo, Eri Prasetyo
A1 Karmilasari, -
T1 Object Feature Extraction of Songket Image Using Chain Code Algorithm
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 1
YR 2017
SP 235
OP 241
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 songket; image color segmentation; binary; mathematical morphology; moore; chain code
AB The study was aimed at determining the feature of a motif found in a Songket image in order to make the object detectable and readable. The method used was image color segmentation in the form of a process of segmentation of the image area based on the similarity in colors, which was continued with the binary process that aims to change the image into binary form (0 and 1), so that it only has two colors namely black and white. This study also used mathematical morphology in detecting objects, by using dilation operation and filling holes. After the process of mathematical morphology was completed, the next process was motif extraction by applying moore contour tracking algorithms and the development of chain code algorithms. The results of the process carried out showed that the development chain code algorithm can generate the number of objects, the length of chain code, and probable value of rate of appearances of each chain code in a motif, despite there are some objects in a motif. Then the values are stored into the database as The Feature of Songket Motifs.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1479
DO  - 10.18517/ijaseit.7.1.1479