Finger Vein Segmentation from Infrared Images Based on a Modified Separable Mumford Shah Model and Local Entropy Thresholding

المؤلفون المشاركون

Vlachos, Marios
Dermatas, Evangelos

المصدر

Computational and Mathematical Methods in Medicine

العدد

المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-20، 20ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2015-05-18

دولة النشر

مصر

عدد الصفحات

20

التخصصات الرئيسية

الطب البشري

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1058024