Ingeniería de alimentos

 

Morphometric characterization of chalkiness in mexican rice varieties by digital image analysis and multivariate discrimination

 

Caracterización morfométrica de la mancha opaca blanca (mob) en variedades mexicanas de arroz mediante análisis digital de imágenes y discriminación multivariada

 

G.A. Camelo-Méndez, P.E. Vanegas-Espinoza, A.R. Jiménez-Aparicio, L.A. Bello-Pérez and A.A. Del Villar-Martínez*

 

Instituto Politécnico Nacional, CEPROBI, Apartado postal 24 C.P., 62731, Yautepec, Morelos, México. * Corresponding author. E-mail: adelvilarm@ipn.mx.

 

Received August 3, 2012
Accepted February 8, 2013

 

Abstract

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.

Keywords: Mexican rice cultivars, chalkiness, image analysis application, morpho-colorimetric features, multivariate analysis.

 

Resumen

La formación opaca en el endospermo del arroz es llamada mancha opaca blanca (MOB) o panza blanca; esta característica ha sido reconocida como parámetro de calidad del grano para procesos de molienda y retención de agua. Existe poca información científica sobre la aplicación del análisis de imágenes (IAA) para caracterizar la formación de la MOB, como patrón de calidad del grano de arroz. En este trabajo se analizó la formación de la MOB en el corte transversal del grano pulido de cinco variedades de arroz con diferentes parámetros (factor de forma, conceptos de dimensión fractal, segundo momento angular, lagunaridad, entropía y color). El análisis multivariado indicó que las variedades estudiadas presentaron características morfométricas que les permitieron ser clasificadas con 99.24% de exactitud. Los resultados fueron agrupados mediante un dendrograma que generó dos grupos: 1) MorA-92, MorA-98, MorA-06, y 2) MF y MC esto permitió distinguir entre las variedades que mostraron similares patrones morfo-colorimétricos característicos de la MOB entre las variedades de arroz estudiadas.

Palabras clave: variedades mexicanas de arroz, mancha opaca blanca, análisis de imagenes, características morfo-colorimétricas, análisis multivariado.

 

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Acknowledgements

The authors thank the National Council of Science and Technology-Mexico for financial support in the project CONACYT-105704 and National Institute of Agricultural and Forestry Research (INIFAP) for cultivars provided. One of the authors (GACM) also acknowledges the scholarship from CONACYT-Mexico.

 

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