Tumor detection using K-Mean clustering algorithm method.
M. Rekha, A. Meera · 2013
Thresholding is a simple but effective tool for image segmentation. The purpose of this operation is that objects and background are separated into non-overlapping sets. Multilevel thresholding technique has been applied into two types of images which is normal bone marrow and Acute Lymphoblastic Leukemia (ALL). A multilevel thresholding method is used in the segmentation of the white blood cells (WBC) from its complicated background. This method is only suitable for normal images. However, we in this paper mainly concentrate on the segmentation method which gives best results for the dark or brighter images. We in this paper use three different segmentation techniques to segment the brighter and darker images.