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Image Segmentation

Image Segmentation

Dongbin Chen
Copyright: © 2008 |Pages: 22
ISBN13: 9781599047775|ISBN10: 1599047772|EISBN13: 9781599047799
DOI: 10.4018/978-1-59904-777-5.ch013
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MLA

Chen, Dongbin. "Image Segmentation." User Centered Design for Medical Visualization, edited by Feng Dong, et al., IGI Global, 2008, pp. 258-279. https://doi.org/10.4018/978-1-59904-777-5.ch013

APA

Chen, D. (2008). Image Segmentation. In F. Dong, G. Ghinea , & S. Chen (Eds.), User Centered Design for Medical Visualization (pp. 258-279). IGI Global. https://doi.org/10.4018/978-1-59904-777-5.ch013

Chicago

Chen, Dongbin. "Image Segmentation." In User Centered Design for Medical Visualization, edited by Feng Dong, Gheorghita Ghinea , and Sherry Y. Chen, 258-279. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-777-5.ch013

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Abstract

This chapter introduces image segment techniques. These techniques, including pixel- based approaches, region-based approaches, classification techniques, deformable model algorithms, artificial neural network approaches and texture-based algorithms are detailed. Color image segmentations and 3D image segment methods are briefly introduced. With developments of computer and medical imaging techniques, there is an increase in demand of new segment algorithms for developing or upgrading medical image systems. Therefore, the author hopes that this chapter not only details the current segment techniques, but also assists researchers in quickly selecting their research directions under their applications, imaging modality, image features and other factors.

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