Statistics and category systems for the shape index descriptor of local 2nd order natural image structure

被引：8

作者：

Lillholm, Martin ^{[1
]}

Griffin, Lewis D. ^{[1
]}

机构：

[1] UCL, Dept Comp Sci, London WC1E 6BT, England

来源：

IMAGE AND VISION COMPUTING | 2009年 / 27卷 / 06期

基金：

英国工程与自然科学研究理事会;

关键词：

Local image structure; Image features; Natural image statistics; RECEPTIVE-FIELDS; MODEL;

D O I：

10.1016/j.imavis.2008.08.003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The shape index offers a natural and invariant description of pure 2nd order image structure. We discuss its properties and report novel natural image statistics for the shape index and the additional two parameters of curvedness and principal direction that form a complete and decoupled re-parameterisation of 2nd order structure. In a second main theme, we address three separate avenues to a categorisation of the shape index for natural images and Suggest five feature categories as a natural 2nd order image structure 'alphabet'. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：771 / 781

页数：11

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