Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey
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...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2008-04-01
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| Series: | Czech Journal of Food Sciences |
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| Online Access: | https://cjfs.agriculturejournals.cz/artkey/cjf-200802-0003_image-vision-technology-for-the-characterisation-of-shape-and-geometrical-properties-of-two-varieties-of-lentil.php |
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| author | Ebru Firatligil-Durmuş Evžen Šárka Zdeněk Bubník |
| author_facet | Ebru Firatligil-Durmuş Evžen Šárka Zdeněk Bubník |
| author_sort | Ebru Firatligil-Durmuş |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T08:36:01Z |
| format | Article |
| id | doaj.art-7c235128b7af4b41b6c4c60bc4c07bec |
| institution | Directory Open Access Journal |
| issn | 1212-1800 1805-9317 |
| language | English |
| last_indexed | 2024-04-10T08:36:01Z |
| publishDate | 2008-04-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Czech Journal of Food Sciences |
| spelling | doaj.art-7c235128b7af4b41b6c4c60bc4c07bec2023-02-23T03:27:12ZengCzech Academy of Agricultural SciencesCzech Journal of Food Sciences1212-18001805-93172008-04-0126210911610.17221/1/2008-CJFScjf-200802-0003Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in TurkeyEbru Firatligil-Durmuş0Evžen Šárka1Zdeněk Bubník2Department of Carbohydrate Chemistry and Technology, Faculty of Food and Biochemical Technology, Institute of Chemical Technology in Prague, Prague, Czech RepublicDepartment of Carbohydrate Chemistry and Technology, Faculty of Food and Biochemical Technology, Institute of Chemical Technology in Prague, Prague, Czech RepublicDepartment of Carbohydrate Chemistry and Technology, Faculty of Food and Biochemical Technology, Institute of Chemical Technology in Prague, Prague, Czech RepublicGeometrical 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.https://cjfs.agriculturejournals.cz/artkey/cjf-200802-0003_image-vision-technology-for-the-characterisation-of-shape-and-geometrical-properties-of-two-varieties-of-lentil.phpimage analysislentillegumessize parametersgeometrical model |
| spellingShingle | Ebru Firatligil-Durmuş Evžen Šárka Zdeněk Bubník Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey Czech Journal of Food Sciences image analysis lentil legumes size parameters geometrical model |
| title | Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey |
| title_full | Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey |
| title_fullStr | Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey |
| title_full_unstemmed | Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey |
| title_short | Image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in Turkey |
| title_sort | image vision technology for the characterisation of shape and geometrical properties of two varieties of lentil grown in turkey |
| topic | image analysis lentil legumes size parameters geometrical model |
| url | https://cjfs.agriculturejournals.cz/artkey/cjf-200802-0003_image-vision-technology-for-the-characterisation-of-shape-and-geometrical-properties-of-two-varieties-of-lentil.php |
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