Extracting tongue cracks using the wide line detector

Authors:
Laura Li Liu;David Zhang
Affiliations:
Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong;Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong
Venue:
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Year:
2008

Citing 3
Cited 0

An Unbiased Detector of Curvilinear Structures

IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge detector evaluation using empirical ROC curves

Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Detecting Wide Lines Using Isotropic Nonlinear Filtering

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper attempts to extract tongue cracks, one of pathological features in tongue diagnosis. A detection scheme is proposed to extract tongue cracks. This scheme is based on the wide line detector which extracts the whole of the line by employing an isotropic nonlinear filter. The wide line detector is improved based on the properties of tongue cracks. The proposed scheme has been tested on a total of 286 cracked tongue images and our experimental results demonstrate its effectiveness.