Object Feature Extraction of Songket Image Using Chain Code Algorithm

- Yuhandri, Sarifuddin Madenda, Eri Prasetyo Wibowo, - Karmilasari


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.


songket; image color segmentation; binary; mathematical morphology; moore; chain code

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DOI: http://dx.doi.org/10.18517/ijaseit.7.1.1479


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Published by INSIGHT - Indonesian Society for Knowledge and Human Development