Publication

Abstract : In this paper, automated brain MRI image segmentation based on Teaching-learning based optimization. The proposed method is the combination of TLBO and a generic algorithm based segmentation method, which is named variable string length genetic segmentationstrategy (VGAPS) which is capable of evolving the number of segments present in the image automatically. The allotment of pixels to the segment is based on Line symmetry based methods which is much efficient and effective than Line symmetry and Euclidean distance based methods. The cluster enters were deployed inside the chromosome whose value changes in each iteration based on the fitness calculated through the TLBO. The result demonstrates that the proposed technique is well suited for medical image segmentation with satisfactory result.