A CBIR System for the Recognition of Agricultural Machinery

dc.contributor.author	Rojas Ruiz, Rodolfo
dc.contributor.author	Rodríguez Mazahua, Lisbeth
dc.contributor.author	López Chau, Asdrúbal
dc.contributor.author	Peláez Camarena, Gustavo
dc.contributor.author	Abud Figueroa, María Antonieta
dc.contributor.author	Machorro Cano, Isaac
dc.date.accessioned	2021-08-01T18:05:48Z
dc.date.available	2021-08-01T18:05:48Z
dc.date.issued	2018
dc.identifier.issn	1870-4069
dc.identifier.uri	http://repositorios.orizaba.tecnm.mx:8080/xmlui/handle/123456789/510
dc.description.abstract	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.	es
dc.description.sponsorship	Consejo Nacional de Ciencia y Tecnología (CONACYT)	es
dc.language.iso	en	es
dc.publisher	Instituto Politécnico Nacional	es
dc.subject	CBIR System	es
dc.subject	BoofCV	es
dc.subject	SURF descriptor	es
dc.title	A CBIR System for the Recognition of Agricultural Machinery	es
dc.type	Article	es