Abstract
Image segmentation is one of the medium levels of image processing. In this paper, illumination is the issue of segmenting various objects. This work proposed and evaluated two methods for image segmentation. First, we proposed region growing based method to find region that represented object of interest. Second, we proposed edge suppressing based method by the use of analyzing tensor. The experiment demonstrated that region growing method has limitation in image segmentation for object color variation. The system shows effectiveness of the method by implementing edge suppressing method in three different objects as foreground object, and four different objects as background object. Using edge suppressing, this system performed successfully under different illumination intensities.
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Pratiwi, D., Kartowisastro, I.H. (2015). Object Segmentation under Varying Illumination Effects. In: Barbucha, D., Nguyen, N., Batubara, J. (eds) New Trends in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-16211-9_2
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DOI: https://doi.org/10.1007/978-3-319-16211-9_2
Publisher Name: Springer, Cham
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