Detection of Brain Tumour in Medical Images Using Pre-Processing Techniques

This paper involves the detection of brain tumour using pre-processing. Pre-processing is a basic tool in medical image processing. This includes a pre-processing techniques and algorithms used in tumour detection. By using pre-processing techniques and algorithms. We can improve the visual appearance of images and also can improve the changes of datasets. Under pre-processing, so many techniques are there which can be used for tumour detection such as image resampling, Grey scale contrast improvement, noise removal, mathematical calculations and human corrections. For removing noise in the image we can use filters such as median, mean, wiener and Gaussian filters. After filtering, the image quality metrics can be measured using dataset images. Magnetic resonance imaging (MRI) is the primary imaging technique for detecting the brain tumour progression before and after surgery.