Showing results 41 to 45 of 45
  Contrôle de la qualité des pommes par vision artificielle.Leemans, Vincent  ; Magein, Hugo ; Destain, Marie-France in Fruit Belge (1998), 66(471), Article de vulgarisation à destination des profesionnels du secteur fruitier, présentant les possibilités de l'analyse d'images numériques pour le tri des fruits suivant leur qualité externe Detailed reference viewed: 108 (1 ULg)L'automatisation dans l'agriculture et dans l'industrie agro-alimentaire. Un exemple : le tri des fruits en fonction de leurs caractéristiques externesLeemans, Vincent ; Destain, Marie-France Scientific conference (1997, May 15) Séminaire de vulgarisation sur l'utilisation des techniques d'analyse d'image pour l'évaluation de la forme de fruit et pour la recherche de défauts. Detailed reference viewed: 73 (6 ULg)Apple Shape Inspection with Computer VisionLeemans, Vincent ; Magein, Hugo ; Destain, Marie-France in Sensors for Nondestructive Testing - Measuring the Quality of Fresh Fruits and Vegetables (1997, February) Two shape separation methods were compared for shape grading of 'Golden Delicious' apples using machine vision. The first one was based on moments and other geometric parameters while the second implied ... [more ▼] Two shape separation methods were compared for shape grading of 'Golden Delicious' apples using machine vision. The first one was based on moments and other geometric parameters while the second implied the computation of Fourier descriptors.Both methods required that one stem view and six cheek views of the fruit were presented to the camera. The Fourier descriptors were found the most efficient method since they allowed an accuracy in classification reaching 96% and can be made invariant to translation, rotation and scale. Furthermore, they are obtained from boundary information and do not need to examine the whole area of the apple. They permit the reconstruction of the apple shape from the harmonics. [less ▲] Detailed reference viewed: 56 (1 ULg)Vision artificielle et quantification de la forme de pommesLeemans, Vincent ; Magein, Hugo ; Destain, Marie-France in Cahiers Agricultures (1997), 6 Golden delicious apples were characterised automatically by machine vision, taking into account six view of the cheeks and one of the stem end. The Fourier transform of the fruit boundaries were computed ... [more ▼] Golden delicious apples were characterised automatically by machine vision, taking into account six view of the cheeks and one of the stem end. The Fourier transform of the fruit boundaries were computed and normalised. All the relevant information about the shape was included in the first fifteen harmonics. Moreover, particular harmonics were found to characterise the shape of the Golden delicious variety. By using the amplitude of particular harmonics in a discriminant analysis, apple were sorted into categories defined by EU, with a precision around 96%. The proposed method may also be used to compare varieties objectively, in order to identify relation between physiology and shape. [less ▲] Detailed reference viewed: 29 (4 ULg)The quality of 'Golden delicious' apples by colour computer visionLeemans, Vincent ; Magein, Hugo ; Destain, Marie-France in Munack, A.; Tantau, H.-J. (Eds.) Mathematical and control application in agriculture and horticulture (1997) A colour machine vision system was developed to form a basis for colour grading and defect inspection of 'Golden delicious' apples. The criteria were based on European Union standards and took into ... [more ▼] A colour machine vision system was developed to form a basis for colour grading and defect inspection of 'Golden delicious' apples. The criteria were based on European Union standards and took into account commercial practices which add subclasses to the basic categories. The system was able to grade correctly more than 90% of the apple for colour (94% by using three colorimetric parameter R, G, B or H,S,I and 91% by using the single canonical variate) and ensured good defect detection (russet, scab, fungi attack, tec.). [less ▲] Detailed reference viewed: 35 (4 ULg) |
||
