Colour And Texture Features For Image Retrieval In Granite Industry
- Marcos J. Alvarez 1
- Elena González 2
- Francesco Bianconi 3
- Julia Armesto González 2
- Antonio Fernández 2
- 1 University of Vigo, Spain. Tecnologías
- 2 Universit yo fVigo, Spain. Geociencias. Medio- Ambiente. Tecnologías
- 3 Universidad de Vigo. Geociencias. Medio- Ambiente. Tecnologías.
ISSN: 0012-7353
Year of publication: 2010
Volume: 77
Issue: 161
Pages: 121-130
Type: Article
More publications in: DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia. Sede Medellín
Abstract
In this paper we study the feasibility of developing a search engine capable of retrieving images from a granite image database based on a query image that is similar to the intended targets. The main focus was on the determination of the set of colour and/or texture features which yields highest retrieval accuracy. To assess the performance of theconsidered image descriptors we created a granite image database, formed by images recorded at our laboratory as well as taken from the Internet. Experimental results show that colour and texture features can be successfully employed to retrieve granite images from a database. We also found that improved accuracy is achieved by combining different colour and texture feature sets through classifier fusion schemes.