NDLI: Extraction and analysis of nail-fold capillaries

Content Provider	IEEE Xplore Digital Library
Author	Charan, S.G. Suma, K.V. Rao, B.
Copyright Year	2014
Description	Author affiliation: Electron. & Commun. Dept., M.S. Ramaiah Inst. of Technol., Bangalore, India (Charan, S.G.; Suma, K.V.) \|\| Nandi Inst. of Technol. & Manage. Sci., Bangalore, India (Rao, B.)
Abstract	Nail-fold capillaries exhibit distinctive features which help in early diagnosis of various anomalies like diabetes. The examination of microcirculation of nail-fold capillaries serves as the window to monitor one's health condition as the changes in nail-fold microcirculation often indicate certain clinical disorders. This way of finding disorders is a less harmful technique. Separation of multiple layers of capillary in an image is performed using Speeded Up Robust Features (SURF). The capillary images have lot of smudge and blur in them which makes it difficult to extract the capillaries. This is tackled by using varied metric threshold in SURF features. Cross-correlation between a reference capillary image and the test image is used to separate one layer of capillaries. Extraction of the single capillary is performed via SURF points. This gives the density of capillaries in an image and also talks about the avascularity. The proposed techniques gave satisfactory results in the measurement of density of capillaries and avascularity and hence detecting the anomalies.
Starting Page	110
Ending Page	114
File Size	271220
Page Count	5
File Format	PDF
e-ISBN	9781479950973
DOI	10.1109/MedCom.2014.7005986
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement SURF Correlation Image resolution Communication systems Redundancy Avascularity Feature extraction Metric threshold Cross-correlation Biomedical imaging Microcirculation of nail-fold capillary
Content Type	Text
Resource Type	Article

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