Image processing of microscopic cellular samples

This article presents image processing methods for biological Images which show kind of cells. The main difficulty of processing these images was the presence of noise in the images and the limitation of losing pixels during the binarization of the images. Neighborhood algorithm, such as the Wiener filter was used for noise removal. In addition to this, a normalization of the background was performed on the image before the binarization of the image and finally the application of morphological operations for suppressing the remaining effects of the noise on the original image.