Summary
In this paper we propose two methods of human vein pattern segmentation from low quality images, called frequency high pass filtration and local minima analysis, witch are compared with the often used local thresholding algorithm. These methods are evaluated using manually assigned bifurcation points which is also proposed in this paper. Evaluation was carried out on 480 collected images, and shows that proposed methods are worth to consider in human vein pattern segmentation.
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Kabaciński, R., Kowalski, M. (2010). Human Vein Pattern Segmentation from Low Quality Images – A Comparison of Methods. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16295-4_12
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DOI: https://doi.org/10.1007/978-3-642-16295-4_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16294-7
Online ISBN: 978-3-642-16295-4
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