Background: Digital Signal Processing (D.S.P) is an evolutionary field. It has a vast variety
of applications in all fields. Bio medical engineering has various applications of digital signal
processing. Digital Image Processing is one of the branches of signal processing. Medical image
modalities proved to be helpful for disease diagnosis. Higher expertise is required in image analysis
by medical professional, either doctors or radiologists.
Methods: Extensive research is being done and has produced remarkable results. The study is divided
into three main parts. The first deals with introduction of mostly used imaging modalities
such as, magnetic resonance imaging, x-rays, ultrasound, positron emission tomography and computed
tomography. The next section includes explanation of the basic steps of digital image processing
are also explained in the paper. Magnetic Resonance imaging modalities is selected for this
research paper. Different methods are tested on MRI images.
Discussion: Brain images are selected with and without tumor. Solid cum Cystic tumor is opted for
the r esearch. Results are discussed and shown. The software used for digital image processing is
MATLAB. It has in built functions which are used throughout the study. The study represents the
importance of DIP for tumor segmentation and detection.
Conclusion: This study provides an initial guideline for researchers from both fields, that is, medicine
and engineering. The analyses are shown and discussed in detail through images. This paper
shows the significance of image processing platform for tumor detection automation.