Segmentation Of Biological Cells In Microscopic Images

Image analysis of cells is an important aspect for research in biomedical applications. Image segmentation is the important step in image analysis. The task is not so easy as to identify the cells as there a lot of complexities like the removal of background noise, overlapping of cells, and change in the position of the cell. This paper examines and analyses various methods for pre-processing and segmentation using metrics, which are used to study the shape, size and behavior of the cells. First step is the pre-processing to reduce the noise present in the image. Then the pre-processed image is taken as the input and the cells in the image are segmented. The compared results of various techniques by measuring the accuracy, Jaccard index and number of cells detected in the image.