Abstract
In the paper, the difficulty in image segmentation based on the popular level set framework to handle an arbitrary number of regions has been addressed. There is very few work reported on optimized segmentation with respect to the number of regions. In the proposed model, first the image is classified using type-2 fuzzy logic to handle uncertainty in determining pixels in different color regions. Grey scale average (GSA) method has been applied for finding accurate edge map to segment the image that produces variable number of regions.
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Maity, S., Sil, J. (2011). Image Segmentation Using Grey Scale Weighted Average Method and Type-2 Fuzzy Logic Systems. In: Das, V.V., Thomas, G., Lumban Gaol, F. (eds) Information Technology and Mobile Communication. AIM 2011. Communications in Computer and Information Science, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20573-6_46
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DOI: https://doi.org/10.1007/978-3-642-20573-6_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20572-9
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