Design and Implementation of Reconfigurable Architecture for Automatic Monitoring and Detection System for Tonsillitis

Abstract

Tonsillitis is the major problem for children and aged people. There exists a lack of doctors for frequently monitoring and detecting the Tonsillitis. Therefore, it is very important to develop an automated tonsillitis monitoring and detection system. In this project the design and implementation of automated tonsillitis monitoring and detection system using FPGA is proposed. An automated tonsillitis monitoring and detection system aims for separate use also provides portability, a compact size with reliable functionality. In this system a tonsillitis image of a person is acquired through camera and the image is processed for noise reduction. The preprocessed image is further processed to extract tonsil color and size by using boundary detection and feature extraction algorithm. At last, the three stages are determined using classifier. The execution of the proposed method is assessed by comparing the results of proposed experimental system with results of the doctors. The simulation results that shows the red color level of tonsillitis image for normal stage, early stage and final stage lies in the range of (224-243), (185-123) and (39-109) respectively.