Image segmentation is one of the important step in digital image processing where the images are partitioned into different segments based on several properties like brightness, contrast, intensity and texture. Image processing includes several steps among which image segmentation is the difficult task. Accurate segmentation is the fundamental step in digital image processing. Segmentation can be performed manually, but as it is a tedious task, automatic segmentation techniques which gives more accuracy has to be found. Many recent segmentation techniques for liver image segmentation are discussed here. Some of the techniques to segment liver from CT scanned abdominal image and to segment tumor from the liver are discussed. The main objective is to highlight various techniques which can aid in developing a novel segmentation technique.
CITATION STYLE
Liver and Tumor Segmentation Techniques for CT Abdominal Images. (2019). International Journal of Innovative Technology and Exploring Engineering, 9(2S), 555–560. https://doi.org/10.35940/ijitee.b1051.1292s19
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