Local fractallity as a feature in database image retrieval

被引：0

作者：

Crisan, Daniela Alexandra ^{[1
]}

Coculescu, Cristina ^{[1
]}

Stanica, Justina Lavinia ^{[1
]}

Samuel, Adam Nelu Altar ^{[1
]}

机构：

[1] Romanian Amer Univ, Fac Comp Sci Business Management, Bucharest, Romania

来源：

2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 2 | 2009年

关键词：

image processing; image retrieval; fractal dimension; local fractallity; content-based image retrieval;

D O I：

10.1109/ICCSIT.2009.5234839

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An important aspect encountered in archaeological field consists in the identification of the broken pieces part of an object. A preliminary analysis presupposes the grouping of the articles by material, but this is not enough. A second analysis will be done, this time considering the shape of the frontier of the broken piece. In order to describe the shape of an object's border, the evaluation of some local fractal features is proposed. The algorithms for extracting fractal features were implemented into an original software. The final purpose consists in building a component for a content-based image retrieval (CBIR) which uses a classifier based on fractal properties.

引用

页码：114 / 117

页数：4