SciELO - Scientific Electronic Library Online

 
vol.12 número3Detección de Lactobacillus plantarum 299V usando biosensores basados en microcantilevers con microscopía de fuerza dinámica índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Revista mexicana de ingeniería química

versión impresa ISSN 1665-2738

Resumen

CAMELO-MENDEZ, G.A. et al. Morphometric characterization of chalkiness in mexican rice varieties by digital image analysis and multivariate discrimination. Rev. Mex. Ing. Quím [online]. 2013, vol.12, n.3, pp.371-378. ISSN 1665-2738.

The opaque spot in the rice endosperm is called chalkiness; this characteristic has been recognized as agrain quality parameter for milling, and it is related to water retention. There is little scientific information about image analysis application (IAA) to characterize chalkiness development as pattern of the rice grain quality. In this work, chalkiness in the transversal section of polished grain of five rice varieties, using different parameters (form factor, fractal dimension concepts, angular second moment, lacunarity, entropy and color) was identified. The multivariate analysis indicated that the studied varieties presented morphometric characteristics that enabled it to be classified with 99.24% of accuracy. The resultt allowed the grouping by dendrogram analysis in two groups: 1) MorA-92, MorA-98, MorA-06, and 2) MF and MC, distinguishing between varieties, and demonstrating similar morpho-colorimetric chalkiness characteristic patterns between the analyzed rice varieties.

Palabras llave : Mexican rice cultivars; chalkiness; image analysis application; morpho-colorimetric features; multivariate analysis.

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons