Earticle

초록

영어

Usually, bone fragility risk is related to deteriorations of osseous architecture. However, medical imaging is one of the means to appreciate in vivo bone screen, such as microscopic or micro-tomography images, which is important in the follow up of the osteoporosis. In this paper, a new image segmentation technique of trabecular bone images is introduced. It combines both hierarchical watershed segmentation, wavelet and image mosaic transform. The wavelet transform is applied to the intensity image, to de-noise the image, enhance edges in multiple resolutions, creating detail and approximation coefficients. Gradient magnitudes of the approximation image at the coarsest resolution are computed. The hierarchical watershed and the image mosaic transform are then applied to the approximation image at a given resolution. The segmented image is projected up to higher resolutions using the inverse wavelet transform. This technique provides robust segmentation results for images; reduces the watershed algorithm over-segmentation and results in closed homogeneous regions.

목차

Abstract
 1. Introduction
 2. The Watershed Representation and the Stationary Wavelet Transform
  2.1. The Watershed Representation
  2.2. The Stationary Wavelet Transform
 3. Watershed Segmentation at the Coarsest Resolution
  3.1 Hierarchical-based Watershed Image Segmentation Algorithm
 4. Projection of the Segmented Image to Higher Resolutions
 5. Results and Discussions
 6. Conclusion
 References

키워드

저자

• Wafa Abid Fourati [ Research Unit: Sciences and Technologies of Image and Telecommunications. Higher Institute of Biotechnology, university of Sfax ]
• Mohamed Salim Bouhlel [ Research Unit: Sciences and Technologies of Image and Telecommunications. Higher Institute of Biotechnology, university of Sfax ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605