Brain Tumor Recognition from MRI Images using Multiple Otsu Thresholding and Cross CorrelationJournal
: GRD Journal for Engineering (Vol.2, No. 5)
Publication Date: 2017-04-01
Authors : Ankita kapil; Shailja Shukla;
Page : 5-13
Keywords : Graphical User Interfacing (GUI); Image processing; brain tumor; Image segmentation; Magnetic resonance imaging (MRI);
Source : Download Find it from : Google Scholar
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 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 called multiple Otsu Thresholding, after which morphological operations 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.
Citation: Ankita Kapil, Jabalpur Engineering College, Jabalpur Mp India; Dr. Shailja Shukla ,Jabalpur Engineering College, Jabalpur Mp India. "Brain Tumor Recognition from MRI Images using Multiple Otsu Thresholding and Cross Correlation." Global Research and Development Journal For Engineering 25 2017: 5 - 13.
Last modified: 2017-03-31 21:42:17