Brain Tumor Detection Using Honey Bee Brain Tumor Detection Using Honey Bee

Abstract

In present time, in medical line there are many techniques have been researched for detect the TUMOR from human brain (medical image). Many techniques are available, Brain cancer detection in magnetic resonance images (MRI) is important in medical diagnosis because it provides information associated to anatomical structures as well as potential abnormal tissues necessary to treatment planning and patient followup. In this paper, Here two techniques are used for enhanced and detect edges using PSO and Honey bee (HB). Here detect the tumor using morphological operation through honey bee algorithm. Here in this work we take MRI images for applying honey bee (HB). Detect the TUMOR from enhanced image using honey bee algorithm using morphological operation. There are many steps for detect the tumor using morphological operation. Morphological operations are affecting the form, structure or shape of an object. Applied on binary images (black & white images – Images with only 2 colors: black and white). They are used in pre or post processing (filtering, thinning, and pruning) or for getting a representation or description of the shape of objects/regions (boundaries, skeletons convex hulls). The two principal morphological operations are dilation and erosion . Dilation allows objects to expand, thus potentially filling in small holes and connecting disjoint objects. Erosion shrinks objects by etching away (eroding) their boundaries. These operations can be customized for an application by the proper selection of the structuring element, which determines exactly how the objects will be dilated or eroded.