三维图像建模的随机方法

2006 IEEE/NLM Life Science Systems and Applications Workshop Pub Date : 2006-11-30 DOI:10.1109/LSSA.2006.250410

D. Joshi, Jia Li, J.Z. Wang

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引用次数: 0

摘要

统计建模方法已经成功地用于分割，分类和注释数字图像，多年来。本文提出了一种用于体图像建模的三维隐马尔可夫模型(HMM)。将三维隐马尔可夫模型应用于体图像分割，并使用具有地面真值的合成图像进行测试。讨论了三维生物医学图像分析的潜在应用

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A Stochastic Approach to 3-D Image Modeling

Statistical modeling methods have been successfully used to segment, classify, and annotate digital images, over the years. In this paper, we present a 3-D hidden Markov model (HMM) for volume image modeling. The 3-D HMM is applied to volume image segmentation and tested using synthetic images with ground truth. Potential applications to 3-D biomedical image analysis are also discussed

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2006 IEEE/NLM Life Science Systems and Applications Workshop

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