Non-destructive seed detection in mandarins: comparison of automatic threshold methods FLASH and COMSPIRA MRIs

Barreiro Elorza, Pilar; Zheng, Cui; Sun, Da-Wen; Hernández Sánchez, Natalia; Pérez-Sánchez, J.M. y Ruiz Cabello Osuna, Jesus Maria (2008). Non-destructive seed detection in mandarins: comparison of automatic threshold methods FLASH and COMSPIRA MRIs. "Postharvest Biology and Technology", v. 47 (n. 2); pp. 189-198. ISSN 0925-5214. https://doi.org/10.1016/j.postharvbio.2007.07.008.

Descripción

Título: Non-destructive seed detection in mandarins: comparison of automatic threshold methods FLASH and COMSPIRA MRIs
Autor/es:
  • Barreiro Elorza, Pilar
  • Zheng, Cui
  • Sun, Da-Wen
  • Hernández Sánchez, Natalia
  • Pérez-Sánchez, J.M.
  • Ruiz Cabello Osuna, Jesus Maria
Tipo de Documento: Artículo
Título de Revista/Publicación: Postharvest Biology and Technology
Fecha: Febrero 2008
Volumen: 47
Materias:
Palabras Clave Informales: Dimensional measurement; Fruit; Grading; Machine vision; Postharvest; Size; Sorter; Volume.
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Ingeniería Rural [hasta 2014]
Grupo Investigación UPM: LPF-TAGRALIA
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Here, we review different methods for non-destructive horticultural produce size determination, focusing on electronic technologies capable of measuring fruit volume. The usefulness of produce size estimation is justified and a comprehensive classification system of the existing electronic techniques to determine dimensional size is proposed. The different systems identified are compared in terms of their versatility, precision and throughput. There is general agreement in considering that online measurement of axes, perimeter and projected area has now been achieved. Nevertheless, rapid and accurate volume determination of irregular-shaped produce, as needed for density sorting, has only become available in the past few years. An important application of density measurement is soluble solids content (SSC) sorting. If the range of SSC in the batch is narrow and a large number of classes are desired, accurate volume determination becomes important. A good alternative for fruit three-dimensional surface reconstruction, from which volume and surface area can be computed, is the combination of height profiles from a range sensor with a two-dimensional object image boundary from a solid-state camera (brightness image) or from the range sensor itself (intensity image). However, one of the most promising technologies in this field is 3-D multispectral scanning, which combines multispectral data with 3-D surface reconstruction.

Más información

ID de Registro: 2151
Identificador DC: http://oa.upm.es/2151/
Identificador OAI: oai:oa.upm.es:2151
Identificador DOI: 10.1016/j.postharvbio.2007.07.008
URL Oficial: http://www.sciencedirect.com/science/article/pii/S092552140700230X
Depositado por: Memoria Investigacion
Depositado el: 04 Feb 2010 11:29
Ultima Modificación: 17 Ene 2017 09:28
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