Layered vasculature segmentation of color conjunctival image based on wavelet transform

The vasculature segmentation is one of the essential procedures in the conjunctival image analysis in medicine and biometrics. The vascular patterns segmented from the images are affected by the multi-scale, especially the multi-layer feature of the conjunctival vessel. Based on the Monte Carlo simulation and wavelet transform analysis, a layered vasculature segmentation approach for color conjunctival images were developed, so as to extract the conjunctival vessels by layers from image with fine details, which has great potential in biometrics and the gaze tracking.