小波表示中图像分解与分析的超立方体算法

Proceedings of the Fifth Distributed Memory Computing Conference, 1990. Pub Date : 1990-04-08 DOI:10.1109/DMCC.1990.555380

T. Huntsberger, B.A. Huntsberger

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引用次数: 12

摘要

在实时环境中，图像中包含的大量数据常常阻碍了有用信息的提取。多分辨率表示可用于获取单幅图像或图像序列的结构属性[8]。这些结构属性对于纹理分析、图像分割、目标识别和立体拼接等操作非常有用[7,12,11]。

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Hypercube Algorithm for Image Decomposition and Analysis in the Wavelet Representation

The tremendous amount of data contained in an image oftentimes precludes the extraction of useful information in real-time environments. A multiresolution representation can be used to obtain structural properties of a single image or sequences of images[8]. These structural properties are useful for such operations as texture analysis, image segmentation, object identification and stereo mat ching[7,12,11].

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Proceedings of the Fifth Distributed Memory Computing Conference, 1990.

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