Brain Tumor Recognition from MRI Images using Multiple OTSU Thresholding and Cross Correlation
Journal Title: GRD Journal for Engineering - Year 2017, Vol 2, Issue 5
Abstract
Medical image processing is the most challenging and emerging field now a day. Processing of MRI images is one of the parts of this field. This paper work describes a good and efficient strategy to detect and extract the brain tumor[4][5] from patient’s brain MRI images. In this method an algorithm is developed, the primary part of this algorithm is to convert given MRI image into binary image (0 and 1) using segmentation technique[6] called multiple Otsu Thresholding[7], after which morphological operations[8] [9]has been applied. The obtained image is matched with the SRI24 database which is a MRI-based atlas of 24 normal adult human brain anatomies. The work is done and comprised by making a graphical user interface (GUI) in MATLAB. The algorithm results in good accuracy and better time for recognition of the brain tumor.
Authors and Affiliations
Ankita Kapil, Dr. Shailja Shukla
Keywords
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