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

机译:扁桃体炎自动监测系统可重构架构的设计与实现

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摘要

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.
机译:扁桃体炎是儿童和老年人的主要问题。缺乏医生来频繁监测和检测扁桃体炎。因此,开发自动化的扁桃体炎监测和检测系统非常重要。在该项目中,提出了使用FPGA的扁桃体炎自动监测系统的设计与实现。旨在单独使用的自动化扁桃体炎监测和检测系统还提供了便携性,紧凑的尺寸和可靠的功能。在该系统中,通过相机获取人的扁桃体炎图像,并对图像进行处理以降低噪音。通过使用边界检测和特征提取算法,对预处理后的图像进行进一步处理,以提取扁桃体的颜色和大小。最后,使用分类器确定了这三个阶段。通过将所提出的实验系统的结果与医生的结果进行比较来评估所提出的方法的执行。模拟结果显示正常,早期和末期扁桃体炎图像的红色水平分别在(224-243),(185-123)和(39-109)范围内。

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