An Unparagoned Application for Red Blood Cell Counting using Marker Controlled Watershed Algorithm for Android Mobile

Abstract

Many diseases are diagnosed based on cell count done by clinical examination. The methods which are being used in pathological laboratories for counting cells in a sample are the traditional manual and tedious ones. This procedure is laborious and dependent on the judgment and skill of the operator. Moreover the judgment of the operator may vary in relation to fatigue and other physical conditions. Importantly these techniques consume long periods of time which may affect diagnosis. In order to improve the efficiency and veracity of diagnosis, this paper presents an algorithm that automatically counts the cells using windows based applications in mobile phones. The algorithm uses the quintessential preprocessing techniques to remove the graininess in the sample images, enhances the contrast between the cytoplasm and nucleus and extra cellular components [15]. Subsequently, the segmentation algorithm based on Otsu’s threshold, morphological operations, and marker controlled watershed algorithm and cell size considerations is performed. Pathologists can now prepare and image thousands of samples and save on time per day using this automation.