Detecting cells using image segmentation of the cervical cancer images taken from scanning electron microscope

In this study, Matlab basic cell processes have implemented normal, benign and malign cervical cells taken from the Scanning Electron Microscope. These matlab basic cell process are binary gradient mask, dilated gradient mask, binary image with filled holes, cleared border, segmented, and outlined original. According to the results obtained after these operations, a difference has observed for malign image in images obtained from binary gradient mask, dilated gradient mask process. White space that is obtained after binary gradient mask and dilated gradient mask process applied to the malignant images were found to be much more than normal and benign images.