Image analysis through local information measures

被引：4

作者：

Bruce, N ^{[1
]}

机构：

[1] Univ York, Dept Comp Sci, Toronto, ON M3J 1P3, Canada

来源：

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1 | 2004年

关键词：

D O I：

10.1109/ICPR.2004.1334223

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：616 / 619

页数：4

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