Abstract
The development of image processing technology is well developed today, such as object recognition in an images. Algorithm to obtain accurate results in object recognition continues to be developed. One example is the handwriting recognition application. This application is usually used to archive records or documents from physical form such as a notebook or a letter in the form of files digital. One of the initial process in image processing is image segmentation, and one of the methods used is skeletonizaton.
This Skeletonization uses Discrete Local Symmetry. The process begins by setting the active contour of the image. From the active contour triangulation process is done. And from the process the symmetry points are defined. Skeletonization process is then performed using point symmetry obtained.
The results show that the size of an image greatly affect the outcome of the process of skeletonization using Discrete Local Symmetry. Discrete Local Symmetry methods suitable for ribbon-like shaped objects.
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Gunadi, K., Liliana, Simon, G. (2015). Design and Implementation of Skeletonization. In: Intan, R., Chi, CH., Palit, H., Santoso, L. (eds) Intelligence in the Era of Big Data. ICSIIT 2015. Communications in Computer and Information Science, vol 516. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46742-8_29
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DOI: https://doi.org/10.1007/978-3-662-46742-8_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-46741-1
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