图像分析通过局部信息措施

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI:10.1109/ICPR.2004.1334223

Neil D. B. Bruce

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引用次数: 7

摘要

在经典的信息理论背景下，分析了局部图像统计的性质。通过独立分量分析，将局部空间色图像元素投影到组成分量独立的空间中，从而可以快速简便地考虑这些统计的联合似然。观察到这种可能性，就可以对一组特定统计数据的信息量作出推断。该操作显示了一些感知上重要的图像属性，允许图像-地面分割，去除共同或预期的图像元素，以及预测感兴趣的区域。

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Image analysis through local information measures

The properties of local image statistics are analyzed in a classic information theoretic setting. Local spatiochromatic image elements are projected into a space in which constituent components are independent by way of independent component analysis, allowing a fast and tractable means of considering the joint likelihood of such statistics. Observation of this likelihood allows inferences to be made regarding the informativeness of a particular set of statistics. This operation is shown to illuminate a number of perceptually important image properties, allowing figure-ground segmentation, removal of common or expected image elements, and prediction of regions of interest.

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Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.

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