This contribution describes a method to select regions of interest as capillaries of the oral mucosa and to extract their main features useful for real diagnosis purposes. A discrete version of the wavelet transform has been adopted for segmenting the images coming from video sequences acquired by a prototype capillaroscopic, able to put in evidence the red blood flow. A set of proper characteristics is automatically computed for a correct evaluation of the peripheral microcirculation.
Spera, E., Tegolo, D., Valenti, C. (2015). Segmentation and feature extraction in capillaroscopic videos. In B. Rachev, A. Smrikarov (a cura di), CompSysTech '15: Proceedings of the 16th International Conference on Computer Systems and Technologies (pp. 244-251). New York : ACM [10.1145/2812428.2812472].
Segmentation and feature extraction in capillaroscopic videos
TEGOLO, Domenico;VALENTI, Cesare Fabio
2015-01-01
Abstract
This contribution describes a method to select regions of interest as capillaries of the oral mucosa and to extract their main features useful for real diagnosis purposes. A discrete version of the wavelet transform has been adopted for segmenting the images coming from video sequences acquired by a prototype capillaroscopic, able to put in evidence the red blood flow. A set of proper characteristics is automatically computed for a correct evaluation of the peripheral microcirculation.
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