Fractal features and their application to image classification

被引：0

作者：

Linnell, T ^{[1
]}

Deravi, F ^{[1
]}

机构：

[1] Univ Kent, Dept Elect, Canterbury CT2 7NZ, Kent, England

来源：

CISST'03: PROCEEDING OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS 1 AND 2 | 2003年

关键词：

fractals; compressed domain; image classification; fractal features;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper shows novel fractal-based features which are derived directly from the codes resulting from fractal compression of an image. We show some example image classification tasks which can take advantage of these features. Effective face recognition and gender recognition of individually coded face images can be implemented using the operators as inputs to standard, well-known classifiers such as k-Nearest Neighbor and Support Vector Machine Classifiers.

引用

页码：726 / 731

页数：6

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