Blob-Based Cell Counting Accuracy for Medical Applications

This article concentrated on the performance estimation of blob-based image segmentation for object counting. The purpose of these studies is to estimate algorithm efficiency in terms of faults and correct detections and obtain corresponding dependencies considering specific nature of medical images. For study implementation Matlab model with definition of relative methodology was used. As result of study, relative algorithms and the implementations of the modern information systems are considered; qualitative and numeric efficiency assessments for the segmentation algorithm and for filtering the cells on the basis of intellectual information systems are obtained. The obtained results can be used during the providing of relative systems in medicine and during algorithms improvements at scientific studies.