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A CBIR System for the Recognition of Agricultural Machinery

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Fecha
2018
Autor
Rojas Ruiz, Rodolfo
Rodríguez Mazahua, Lisbeth
López Chau, Asdrúbal
Peláez Camarena, Gustavo
Abud Figueroa, María Antonieta
Machorro Cano, Isaac
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Resumen
Content-Based Image Retrieval (CBIR) is a technique to obtain images based on visual characteristics like color, texture and shape. In this article, an analysis of different CBIR systems is presented; also an inventory system that allows content-based queries is proposed to help the employees of a company that sells agricultural machinery and spare parts, called AGROMAQ. This system identifies different products, all with the aim of reducing customer service time, since an expert is currently needed to identify them, which increases attention time not only in hours but also in days.
URI
http://repositorios.orizaba.tecnm.mx:8080/xmlui/handle/123456789/510
Temas
CBIR System
BoofCV
SURF descriptor
Tipo
Article
Colecciones
  • Artículos (MSC) [39]

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