Segmentation of Images Using Level Set Method Based on Additive Bias Correction (LS-ABC)

DOI

10.2991/978-94-6463-252-1_86How to use a DOI?

Keywords

Image segmentation; intensity inhomogeneity; level set method

Abstract

Image segmentation is a critical stage in analyzing an input image among the different image processing techniques. Its purpose is to reduce complexity and transform an image's representation into something more relevant and easier to examine. It has numerous applications in a variety of fields. There are many ways for segmenting an image, yet the intensity inhomogeneity has always been a difficult problem to solve. To overcome this problem, this paper proposes a level set method based on additive bias correction (LS-ABC). In this model, local area and clustering criterion are stated first. Then, using a function of level set and transforming this clustering criterion, an energy function is evaluated. Lastly, while segmenting the image, the predicted bias field structure and reflection edge are determined by minimizing this energy function. For images with intensity inhomogeneity, this model can provide optimal segmentation result. To overcome the issue of energy unification and increase robustness, an optimal adaptive data-driven term is developed in this model. Experimental results validate that the proposed (LS-ABC) model segments the images having intensity inhomogeneity accurately. When compared to existing models, this model is found to be accurate, fast and robust.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - G. Raghotham Reddy
AU  - G. Sruthi
AU  - B. Haindavi
AU  - P. Sai Deepak
AU  - Syed Waseem Ur Rayyan
AU  - K. Ramudu
PY  - 2023
DA  - 2023/11/09
TI  - Segmentation of Images Using Level Set Method Based on Additive Bias Correction (LS-ABC)
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 854
EP  - 864
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_86
DO  - 10.2991/978-94-6463-252-1_86
ID  - RaghothamReddy2023
ER  -