超声图像分割的增强外观模型

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI:10.1109/ICPR.2004.160

Yifeng Jiang, Zhijun Zhang, F. Cen, H. Tsui, Tze Kin Lau

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引用次数: 5

摘要

主动外观模型(AAM)在医学图像的目标分割中得到了广泛的应用。然而，它在超声(US)图像上的表现并不好。在本文中，我们提出了一种增强的外观模型，该模型通过边缘结构来表示纹理，并通过一种新的数据归一化过程来降低美国图像的视图依赖特征。在我们对美国一般数据的实验中，与原始模型相比，提出的模型显示出相当大的改进。

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An enhanced appearance model for ultrasound image segmentation

Active appearance model (AAM) had been popular on object segmentation for medical images. However, its performance is not good on ultrasound (US) images. In this paper, we propose an enhanced appearance model which represents the texture by edge structure and reduces the view-dependent feature of US images by a novel data normalization process. In our experiments on general US data, the proposed model shows considerable improvements compared to the original one.

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来源期刊

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.

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