基于自适应处理的BSP图像分类

6th International Conference on Signal Processing, 2002. Pub Date : 2002-08-26 DOI:10.1109/ICOSP.2002.1181208

Siu-Yeung Cho, Z. Chi, W. Siu

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引用次数: 3

摘要

在图像处理领域，图像内容表示一直是一个具有挑战性的问题。本文提出了一种结合数据结构自适应处理的二叉空间划分(BSP)树结构图像表示方法。这种树状结构表示在保留图像内容的场景语义方面具有鲁棒性。将该方法应用于自然风景图像的分类中，取得了令人满意的结果。

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Image classification with adaptive processing of BSP image representation

Image content representation is still a challenging problem in the field of image processing. In this paper, a binary space partition (BSP) tree structure image representation incorporating with adaptive processing of data structures is presented. This tree structure representation is robust to preserve the scene semantics of image contents. Promising results were achieved when our approach was tested on the classification of natural scenery images.

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6th International Conference on Signal Processing, 2002.

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