Detection of Erythrocyte Cells in Microscopy Images
نویسنده
چکیده
In the paper an algorithm for automatic detection of red blood cells in microscopic images is described and investigated. For this purpose digital microscopic images stained by means of the MGG (May-Grunwald-Giemsa) method are applied. This method consists in three main stages. The first one is composed of the conversion to binary image using the modified histogram thresholding. The second one comprises the localisation and extraction of each separate object. The last stage covers the selection of erythrocytes and the rejection of other cells. The method described in the paper method gave the average efficiency above 83%, which is a promising result considering the specific characteristics of the investigated data as well as the large number of cells within an image. Streszczenie. W artykule przedstawiono i omówiono algorytm przeznaczony do automatycznej detekcji czerwonych krwinek na obrazach mikroskopowych. Do tego celu użyto cyfrowych obrazów mikroskopowych, barwionych metodą MGG (May-Grunwald-Giemsa). Metoda opiera się na trzech głównych etapach. Pierwszy to konwersja do obrazu binarnego przy użyciu zmodyfikowanego progowania histogramowego. Drugi to lokalizacja i ekstrakcja każdego obiektu oddzielnie. Ostatni to selekcja erytrocytów i odrzucenie pozostałych komórek krwi. Opisywana w artykule metoda dała średnią skuteczność przekraczającą 83 %, co jest obiecującym wynikiem, biorąc pod uwagę specyficzne cechy badanych danych oraz dużą liczbę komórek na obrazie. (Detekcja komórek erytrocytów na obrazach mikroskopowych na potrzeby automatycznej lub półautomatycznej diagnozy)
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