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A manual measurement of blood vessels diameter is a conventional component ofroutine visual assessment of microcirculation, say, during opticalcapillaroscopy. However, many modern optical methods for blood flowmeasurements demand the reliable procedure for a fully automated detection ofvessels and estimation of their diameter that is a challenging task.Specifically, if one measure the velocity of red blood cells by means of laserspeckle imaging, then visual measurements become impossible, while thevelocity-based estimation has their own limitations. One of promisingapproaches is based on fast switching of illumination type, but it drasticallyreduces the observation time, and hence, the achievable quality of images. Inthe present work we address this problem proposing an alternative method forthe processing of noisy images of vascular structure, which extracts the maskdenoting locations of vessels, based on the application of the continuouswavelet transform with the Morlet wavelet having small central frequencies.Such a method combines a reasonable accuracy with the possibility of fastdirect implementation to images. Discussing the latter, we describe in detailsa new MATLAB program code realization for the CWT with the Morlet wavelet,which does not use loops completely replaced with element-by-element operationsthat drastically reduces the computation time.

proceedings of spie, the international society for optical engineering/proceedings of spie

A fast method for the detection of vascular structure in images, based  on the continuous wavelet transform with the Morlet wavelet having a low  central frequency