A review and proposal of an innovative approach for medical image segmentation
Savita Dahiya, S. Vijayalakshmi · 2017
The most important goal in image segmentation is extraction and description structural configurations with based on few input features or knowledge of an expert. Traditional techniques for medical image segmentation involve more time complexity thereby developing an obstacle in real time application schemes. This paper presents various ways of medical image segmentation. Image segmentation can be defined as in which we divide the image into numerous fragments in the form of pixels. In segmentation, we basically signify the image into more reasonable form. Segmentation is essentially used to detect the objects, boundaries and other significant data in the digital images. The aim of this paper is to explore the different problems in 2-D medical image segmentation, application area and the different approaches accessible in literature along with their pros and cons as well as proposal of an innovative approach for segmenting the brain MRI.