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最小描述长度形状与外观模型。

Minimum Description Length shape and appearance models.

作者信息

Thodberg Hans Henrik

机构信息

Informatics & Mathematical Modelling, Technical University of Denmark, 2800 Lyngby, Denmark.

出版信息

Inf Process Med Imaging. 2003 Jul;18:51-62. doi: 10.1007/978-3-540-45087-0_5.

DOI:10.1007/978-3-540-45087-0_5
PMID:15344446
Abstract

The Minimum Description Length (MDL) approach to shape modelling is reviewed. It solves the point correspondence problem of selecting points on shapes defined as curves so that the points correspond across a data set. An efficient numerical implementation is presented and made available as open source Matlab code. The problems with the early MDL approaches are discussed. Finally the MDL approach is extended to an MDL Appearance Model, which is proposed as a means to perform unsupervised image segmentation.

摘要

本文回顾了用于形状建模的最小描述长度(MDL)方法。它解决了在定义为曲线的形状上选择点的点对应问题,以便这些点在整个数据集上对应。本文给出了一种高效的数值实现方法,并以开源Matlab代码的形式提供。文中讨论了早期MDL方法存在的问题。最后,将MDL方法扩展为MDL外观模型,该模型被提议作为一种执行无监督图像分割的手段。

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