Design and Implementation of 2D Spatial Filter for EEG and MRI Segmentation

Main Article Content

Apurva Garg, Akanksha Gulati, Rahul Chauhan


The Electroencephalography (EEG) of brain field continues to be an attractive tool in clinical practice due to its real time depiction of brain function .The aim of this paper is to give a review of digital image segmentation technique .This paper study and implements the different types of 2D spatial filter(weighted, smoothening ,derivative) for EEG segmentation . Paper focuses on developing an automated system to enhance and recover the corrupted EEG signal images and MRI images with the help of 2D spatial filter and it also helps in early and accurate diagnosis of brain tumour. It ensures fast and reliable detection and formal resolution of deformed images by implementing noise addition and removal, edge detection, cropping, histogram adjustment, scale conversion as required by the image.
DOI: 10.17762/ijritcc2321-8169.150535

Article Details

How to Cite
, A. G. A. G. R. C. “Design and Implementation of 2D Spatial Filter for EEG and MRI Segmentation”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 3, no. 5, May 2015, pp. 2666-71, doi:10.17762/ijritcc.v3i5.4305.