Automatic Segmentation based Graphical Interface for Recognition of Tomography Image Analysis of Damage cell

Abstract

The recent improvement in Medical picture development has facilitated Computed Tomography Image study by Automatic division of impaired cell. Automatic division of impaired cell will provide the required information, cross correlation and log value. The contrast between ordinary and impaired cell will provide a correct notion about the impaired cell. Employing the GUI technique, the operator can distinct the provided two image characteristics and accomplish the appropriate examination of the medical image. The benefits of this suggested technique are inexpensive, less time consuming and simple to operate. The operator can easily insert and speculate the values.