图像森林变换的形状描述

2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628) Pub Date : 2002-11-07 DOI:10.1109/ICDSP.2002.1028280

R. Torres, A. Falcão, L. F. D. Costa

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引用次数: 23

摘要

图像森林变换(IFT)是一种统一而有效的基于图形的图像处理操作设计方法，通常比已发布的算法具有相当大的效率提高。本文将欧几里得IFT的应用扩展到最近提出的两种形状描述符:显著性和多尺度分形维数。说明了如何获取轮廓和骨架的显著性信息和多尺度分形维数，并在鲁棒性和可分性方面对它们进行了比较。

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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Shape description by image foresting transform

The image foresting transform (IFT) is a unified and effective graph-based approach to the design of image-processing operations, often with considerable efficiency gains over published algorithms. This paper extends the applications of the Euclidean IFT to two recently proposed shape descriptors: saliences and multiscale fractal dimension. It explains how to obtain the salience information and the multiscale fractal dimension of contours and skeletons and presents their comparison in terms of robustness and separability.

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2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)

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