Abstract
This paper proposes a new automatic image edge extraction and segmentation method. Firstly, We extract the image’s edge automatically by random seed regions search algorithm. Obviously, we can choose the initial seed randomly and automatically. Moreover, we can adjust segmentation threshold automatically depending on contrast of image. Then, we conclude that our algorithm is effective comparing with the other’s popular image edge extraction and segmentation methods.
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© 2011 Springer-Verlag Berlin Heidelberg
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Wenhua, J., Chang, Z. (2011). An Advanced Algorithm for Image Segmentation by Random Seed Region Search. In: Jiang, L. (eds) Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25188-7_30
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DOI: https://doi.org/10.1007/978-3-642-25188-7_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25187-0
Online ISBN: 978-3-642-25188-7
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