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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.7
- 수록면
- 827 - 833 (7page)
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In this paper, we have compared three level set-based active contour (LSAC) methods on inhomogeneous MR image segmentation which is known as an important role of brain diseases to diagnosis and treatment in early. MR image is often occurred a problem with similar intensities and weak boundaries which have been causing many segmentation methods. However, LSAC method could be able to segment the targets such as the level set based on the local image fitting energy, the local binary fitting energy, and local Gaussian distribution fitting energy. Our implemented and tested the subcortical image segmentations were the corpus callosum and hippocampus and finally demonstrated their effectiveness. Consequently, the level set based on local Gaussian distribution fitting energy has obtained the best model to accurate and robust for the subcortical image segmentation.
목차
ABSTRACT
1. INTRODUCTION
2. METHODOLOGY
3. EXPERIMENTAL RESULTS
4. CONCLUSION
REFERENCES
참고문헌 (18)
참고문헌 신청
[학술지(정기간행물)] - V. Caselles / 1997 / Geodesic Active Contours / International Journal of Computer Vision 22 (1) : 61 ~ 79
[학술지(정기간행물)] - Y. Chen / 2002 / Using Prior Shapes in Geometric Active Contours in a Variational Framework / International Journal of Computer Vision 50 (3) : 315 ~ 328
[학술대회논문] - M. Leventon / 2000 / Statistical Shape Influence in Geodesic Active Contours / Proceeding of IEEE Conference on Computer Vision and Pattern Recognition 1 : 316 ~ 323
[학술지(정기간행물)] - C. Xu / 1998 / Snakes, Shapes, and Gradient Vector Flow / IEEE Transactions on Image Processing 7 (3) : 359 ~ 369
[학술지(정기간행물)] - R. Malladi / 1995 / Shape Modeling with Front Propagation : A Level Set Approach / IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (2) : 158 ~ 175
[학술지(정기간행물)] - Y. Chen / 2002 / Using Prior Shapes in Geometric Active Contours in a Variational Framework / International Journal of Computer Vision 50 (3) : 315 ~ 328
[학술대회논문] - M. Leventon / 2000 / Statistical Shape Influence in Geodesic Active Contours / Proceeding of IEEE Conference on Computer Vision and Pattern Recognition 1 : 316 ~ 323
[학술지(정기간행물)] - C. Xu / 1998 / Snakes, Shapes, and Gradient Vector Flow / IEEE Transactions on Image Processing 7 (3) : 359 ~ 369
[학술지(정기간행물)] - R. Malladi / 1995 / Shape Modeling with Front Propagation : A Level Set Approach / IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (2) : 158 ~ 175
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UCI(KEPA) : I410-ECN-0101-2016-004-001756542