Computer Aided System for Human Blood Cell Identification, Classification and Counting

Evaluation of Blood Smear is one of the most basic laboratory procedures in Hematology as deviations of blood cell count from their reference values can be indicators of various disease conditions. Digital Image Processing can help the technologists in the analysis and classification of blood cells and diagnosis of certain health conditions based on the CBC values and their morphology. This project aims at generating software that can identify, classify and count various blood cells from the peripheral blood smear samples. Locating, identifying and counting of Blood cells manually can be tedious, time consuming and inaccurate. On the other hand, Automatic Hematology Analyzers that work on Flow cytometry principle for classification are expensive and can perform only quantitative analysis. Thus taking into consideration, the wide scope of Image processing in the field of medicine, this proposed work aims to generate a preliminary framework of Automatic Analysis of Human Blood smear for identification, classification and counting of blood cells by using various Image processing.