Optimal Methods of Segmentation of Tomographic Volume Searching System: A Preliminary Review

Igor Skirnevskiy; Aleksandr Korovin

doi:10.4028/www.scientific.net/KEM.685.857

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 685Optimal Methods of Segmentation of Tomographic...

Optimal Methods of Segmentation of Tomographic Volume Searching System: A Preliminary Review

Abstract:

Recent research studies in the sphere of computer tomography are connected with the task of image analysis. Due to the fact that computed tomography images include artifacts, low contrast and different types of noises, researchers have to deal with a wide range of problems during the processing. There is a wide variety of preliminary processing methods which allow solving these problems. Obviously, the choice of these methods has a major impact on the result [1]. However, algorithm analysis of computed tomography images is not considered in the literature nowadays. This work presents an overview of the implementation approach of these methods.

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High Technology: Research and Applications 2015

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Periodical:

Key Engineering Materials (Volume 685)

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857-862

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.685.857

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Online since:

February 2016

Authors:

Igor Skirnevskiy*, Aleksandr Korovin

Keywords:

Denoising Algorithm, Image Noise, Image Segmentation, Tomographic

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