研究了一种基于紧支持采样函数的图像轮廓压缩方法

2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233) Pub Date : 2001-08-26 DOI:10.1109/PACRIM.2001.953575

P. Kwan, K. Toraichi, K. Wada, K. Kameyama, K. Katagishi, T. Sugiyama, F. Yoshikawa

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引用次数: 3

摘要

提出了一种基于紧支持采样函数的图像轮廓压缩方法。为了证明我们的方法的有效性，我们在实际应用中进行了实验，使用牛肉大理石纹图像作为集成数据库和显示系统来辅助牛肉大理石纹评估。然而，该方法的适用性不仅限于牛肉大理石纹图像，而且可以扩展到需要图像轮廓压缩的其他应用。

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On an image contour compression method using compactly supported sampling functions

We propose a novel image contour compression method using compactly supported sampling functions. To demonstrate the effectiveness of our method, we carried out experiments on a real life application using beef marbling images for an integrated database and display system to assist beef marbling evaluation. This method's applicability, however, is not limited to beef marbling images but can be extended to other applications having the need for image contour compression.

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来源期刊

2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)

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