A Study on Image Processing in Medical Field

In medical field, through the identification of blood disorders from microscopic images, can lead to classification of certain diseases related to blood. This paper includes the study of image processing on medical field. In many of the methodologies used, various image processing and segmentation techniques are used for the detection of blood disorders through microscopic cell images. Quality of images plays vital role in the correction prediction and classification of cells. From these captured good images, morphological as well as volumetrical features can be extracted. There are various methods are tried to discriminate cell categories. Various feature extraction techniques are used for the classification of cells. For the optimization of these methods in use, needs a continuous testing and evaluation. Finding optimization areas in these methods is a tedious task. While optimizing, it is needed to ensure repeatability in result generation in various environmental conditions.