Vasculature Detection in Tympanic Membrane

Tympanic membrane, an essential part of the human ear whose function is to help in hearing. In this paper, novelty-based characterization of the tympanic membrane using its vasculature is proposed. In part (1) digital image processing techniques were used for the detection of the blood vessels. In this green channel extraction followed by pre-processing techniques like CLAHE and OTSU thresholding were performed. Vessel detection was done by using Morphological Operation combined with Canny Edge Detection. In part (2) Histogram and pixel-based techniques were used for quantization of blood vessels. Result analysis was done using percentage of vasculature and speed of the algorithm used in the finding the percentage of vasculature. Comparison between Sobel edge detection and Canny edge detection was performed to choose the best method.