Gui Based Segmentation Of Wbcs And Detection Of Infected Cells By Image Processing Using Matlab
The blood smear analysis has an important role in the diagnosis of leukemia disease. The WBC’s shapes and
numbers in a smear area are examined by Hematology experts to diagnose leukemia. The smear stain process and
microscope luminance are analyzed to detect the infected cells. By the help of this, the unnoticed information about cells can
be recovered by image processing. In this study, a set of peripheral smear images were segmented by different segmentation
techniques. After segmentation stage, stain coloranalysis are done every WBC on smear image to get feature vector about
Region of Interest. The WBC’s are classified as infected or non-infected according to the set threshold value of the dataset.