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标题：Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey
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作者：Fıratlıgil-Durmuş E. ; Šárka E. ; Bubník Z. 等
期刊名称：Czech Journal of Food Sciences
印刷版ISSN：1212-1800
电子版ISSN：1805-9317
出版年度：2008
卷号：26
期号：2
页码：109-116
DOI：10.17221/1/2008-CJFS
出版社：Czech Academy of Agricultural Sciences
摘要：Geometrical features of lentil seeds ( Lens culinaris Medik) were analysed using the image analysis LUCIA system Ver. 3.52. The values of the weight of 1000 kernels, kernel density, specific volume, specific surface area, and surface area of 1000 kernels of red and green lentils were determined as 66.61 and 138.56 g, 1504.5 and 1376.4 kg/m³, 0.6647 and 0.7265 cm³/g, 0.594 and 0.579 m²/kg, 395.4 and 801.9 cm²,, respectively. The lentil volume was simulated by an oblate spheroid and two sphere segments and the volumes obtained with both models were compared with that obtained by pycnometric method. Percentage differences of the two sphere segment approximation for red and green lentils were 4.4% and 4.2%, respectively. The height (thickness) of lentils was constant and practically the same with both varieties (2.6 mm) and therefore it was possible to simplify the geometrical models. Thus, 2D image analysis is suitable for a quick evaluation of the specific volume and surface area of grains on the basis of the projected area (equivalent diameter) without the measurement of the height. Image processing provides a simple, rapid, and non-invasive methodology to estimate lentil geometric features and engineering parameters.
关键词：image analysis; lentil; legumes; size parameters; geometrical model download PDF Impact factor (Web of Science – Thomson Reuters) 2017: 0.868 5-Year Impact Factor: 1.107