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Finger Vein Segmentation from Infrared Images Based on a Modified Separable Mumford Shah Model and Local Entropy Thresholding
Joint Authors
Vlachos, Marios
Dermatas, Evangelos
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
A novel method for finger vein pattern extraction from infrared images is presented.
This method involves four steps: preprocessing which performs local normalization of the image intensity, image enhancement, image segmentation, and finally postprocessing for image cleaning.
In the image enhancement step, an image which will be both smooth and similar to the original is sought.
The enhanced image is obtained by minimizing the objective function of a modified separable Mumford Shah Model.
Since, this minimization procedure is computationally intensive for large images, a local application of the Mumford Shah Model in small window neighborhoods is proposed.
The finger veins are located in concave nonsmooth regions and, so, in order to distinct them from the other tissue parts, all the differences between the smooth neighborhoods, obtained by the local application of the model, and the corresponding windows of the original image are added.
After that, veins in the enhanced image have been sufficiently emphasized.
Thus, after image enhancement, an accurate segmentation can be obtained readily by a local entropy thresholding method.
Finally, the resulted binary image may suffer from some misclassifications and, so, a postprocessing step is performed in order to extract a robust finger vein pattern.
American Psychological Association (APA)
Vlachos, Marios& Dermatas, Evangelos. 2015. Finger Vein Segmentation from Infrared Images Based on a Modified Separable Mumford Shah Model and Local Entropy Thresholding. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-20.
https://search.emarefa.net/detail/BIM-1058024
Modern Language Association (MLA)
Vlachos, Marios& Dermatas, Evangelos. Finger Vein Segmentation from Infrared Images Based on a Modified Separable Mumford Shah Model and Local Entropy Thresholding. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-20.
https://search.emarefa.net/detail/BIM-1058024
American Medical Association (AMA)
Vlachos, Marios& Dermatas, Evangelos. Finger Vein Segmentation from Infrared Images Based on a Modified Separable Mumford Shah Model and Local Entropy Thresholding. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-20.
https://search.emarefa.net/detail/BIM-1058024
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058024