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A Computer-Aided Inspection System to Predict Quality Characteristics in Food Technology.

, , , , , и . IEEE Access, (2022)

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Humberto Bergmann Ávila

Petra Marialke-Kandaouroff

Manuel Mariadasa

Boris Mariacher

Malaiyalam Mariappan

 

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Testing Geodesic Active Contours., , , , и . IbPRIA (2), том 4478 из Lecture Notes in Computer Science, стр. 64-71. Springer, (2007)Computer Vision Algorithms Versus Traditional Methods in Food Technology: The Desired Correlation., , , , и . CIARP, том 3287 из Lecture Notes in Computer Science, стр. 59-66. Springer, (2004)Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces., , , , , , и . Eng. Appl. Artif. Intell., (2019)Including 3D-textures in a Computer Vision System to Analyze Quality Traits of Loin., , , , , и . ICVS, том 9163 из Lecture Notes in Computer Science, стр. 456-465. Springer, (2015)Finding the Largest Volume Parallelepipedon of Arbitrary Orientation in a Solid., , , , , , , и . IEEE Access, (2021)A Comparison of Algorithm Design Paradigms in Active Contours for Muscle Recognition., , , , , и . AMDO, том 3179 из Lecture Notes in Computer Science, стр. 249-258. Springer, (2004)Thresholding Methods on MRI to Evaluate Intramuscular Fat Level on Iberian Ham., , , , и . IbPRIA (2), том 3523 из Lecture Notes in Computer Science, стр. 697-704. Springer, (2005)A Computer-Aided Inspection System to Predict Quality Characteristics in Food Technology., , , , , и . IEEE Access, (2022)Radial Textures: A New Approach to Analyze Meat Quality by Using MRI., , , , , и . CIARP, том 11401 из Lecture Notes in Computer Science, стр. 479-486. Springer, (2018)3D Reconstruction on MRI to Analyse Marbling and Fat Level in Iberian Loin., , , , и . IbPRIA (1), том 4477 из Lecture Notes in Computer Science, стр. 145-152. Springer, (2007)