基于自适应混合分布的MR脑图像分割

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI:10.1109/ICONIP.2002.1202163

Juin-Der Lee, P. Cheng, M. Liou

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引用次数: 1

摘要

应用Box-Cox变换拟合脑图像强度数据的高斯混合分布。与使用标准高斯混合分布的现有EM方法相比，使用这种数据自适应混合模型的优势得到了更好的图像分割结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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MR brain image segmentation by adaptive mixture distribution

The Box-Cox transformation is applied to fit a Gaussian mixture distribution to the brain image intensity data. The advantage of using such data-adaptive mixture model is evidenced by yielding better image segmentation results compared to the existing EM procedures using standard Gaussian mixture distribution.

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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

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