Microscopic Image Processing System for Detecting Dengue Affected Blood Samples

Abstract

Dengue has been identified as one of the severe disease in many countries around the world. The virus has been diagnosed as rapidly spreading disease and the effects of Dengue shock syndrome stage may lead to patient death. The objective of this paper is to design Microscopic Imaging Analysis System (MIAS) for detecting dengue affected blood sample by identifying and counting the Platelets in the given microscopic blood image. Image preprocessing techniques like segmentation and morphological operations have been performed on the captured microscopic images. Our automated system is implemented and the performance is compared with traditional methods like manual interpretation and automation system. The performance is estimated on the parameters accuracy, sensitivity and precision. The comparison results show the better accuracy and faster identification than the traditional methods.