A Review on Techniques for Features Extraction for Liver Segmentation

Author Er. Rishm
Co-Author Dr. Naresh Kumar
DOI

Country : India
Subject : Computer Science

Keywords : CT, Morphological, Structural

Abstract

Image segmentation is the process of dividing the image into subparts to abstract the meaningful information. It divides the image into subparts on the basis of pixels, i.e strongly correlated pixels are grouped together. Segmentation is performed by extracting various features. These features are classified in different groups like pixel-level features, local features and global features. Local features determine the edges, boundaries, corners; regions etc. Whereas global features include texture, shape, and colour. In medical imaging liver segmentation is one of the most challenging tasks due to its low-contrast nature with neighbouring organs. This paper will help the researcher to start their work in the field of liver segmentation using features extraction.

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