Image Enhancement Segmentation and Edge Detection in MRI for Mammogram Disease

Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to visualize internal structures in detail. MRI technology is excellent for identifying cancers, in identifying breast cancer, usually doctors or radiologists analyse images of magnetic resonance stored in Digital Imaging Communication in Medicine (DICOM) format. It takes expertise and experience enough for the diagnosis given precisely and accurately, so that handling can be done wisely. Image segmentation is intended to get the objects contained within the image and separate it from the background, while the edge detection is done to obtain the edges of the object. However, edge detection results are sometimes still not maximal therefore after edge detection is done to improve the image or commonly called image enhancement, to improve the image can be done in various ways tailored to the needs, in this study carried out by the High Pass Filter approach. Stages of the process consists of Gray scaling, Tresholding, Cropping, Edge Detection with Prewitt Operator, Image Enhancement then the image of the Enhancement result is done by Union Operation to fill the white pixel value which is in Edge Detection and then converted to binary value 0 and 1. This study used 4 test images consisting of 2 normal images and 2 abnormal images, 2 normal images in the mean as sampling. The test results with edge detection is not good enough so after edge detection is done enhancement to the image so as to produce the image with the appearance of the boundary line of each edge of the area is clearly visible and there is no disconnected edge.