Threshold segmentation technique for tumor detection using morphological operator

摘要

Medical imaging plays a revolutionary role in the field of medical science. In present scenario Image processing is frequently used in diagnosis. The main reason for this is that it extract abnormal tissues from normal tissues clearly and consuming less time. Image quality is enhanced and it provides a great help to the doctor to identify the diseases. A Tumor may lead to cancer, which is major leading cause of death and responsible for around 13% deaths worldwide. Automation of tumor detection is required for detecting tumor on right stage. This paper reviews the process and techniques used in detecting tumor based on medical images such as CT scan, MRI with the help of gray scale image. We applied morphological operator, edge detection and threshold segmentation approach for detecting tumor. We use MatLab R2013a to show the result.