COLOUR AND TEXTURE FEATURES FOR IMAGE RETRIEVAL IN GRANITE INDUSTRY
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2010
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| _version_ | 1876487671454367744 |
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| author | MARCOS J. ÁLVAREZ |
| author_facet | MARCOS J. ÁLVAREZ |
| contents | COLOUR AND TEXTURE FEATURES FOR IMAGE RETRIEVAL IN GRANITE INDUSTRY MARCOS J. ÁLVAREZ ELENA GONZÁLEZ FRANCESCO BIANCONI JULIA ARMESTO ANTONIO FERNÁNDEZ Ingeniería colour Granite texture visual appearance image retrieval systems 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 the considered 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. 2010 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49615347012 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.161 Vol.77 |
| format | Artículo científico |
| id | redalyc_49615347012 |
| institution | Redalyc |
| language | en |
| publishDate | 2010 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | COLOUR AND TEXTURE FEATURES FOR IMAGE RETRIEVAL IN GRANITE INDUSTRY MARCOS J. ÁLVAREZ Ingeniería colour Granite texture visual appearance image retrieval systems COLOUR AND TEXTURE FEATURES FOR IMAGE RETRIEVAL IN GRANITE INDUSTRY MARCOS J. ÁLVAREZ ELENA GONZÁLEZ FRANCESCO BIANCONI JULIA ARMESTO ANTONIO FERNÁNDEZ Ingeniería colour Granite texture visual appearance image retrieval systems 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 the considered 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. 2010 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49615347012 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.161 Vol.77 |
| title | COLOUR AND TEXTURE FEATURES FOR IMAGE RETRIEVAL IN GRANITE INDUSTRY |
| topic | Ingeniería colour Granite texture visual appearance image retrieval systems |
| url | https://www.redalyc.org/articulo.oa?id=49615347012 |