0000000000527274

AUTHOR

Hossein Azarmdel

showing 4 related works from this author

Developing an orientation and cutting point determination algorithm for a trout fish processing system using machine vision

2019

Abstract Fish processing in small and medium fish supplying centers requires an intelligent system to operate on different sizes. Therefore, an image processing algorithm was developed to extract the proper head and belly cutting points according to the trout dimensions. The algorithm detects the fish orientation and location of pectoral, anal, pelvic, and caudal fins. In this study, each of the trout images was divided into slices along its length in order to segment the fins and extract cutting points. The channel ‘B’ of RGB color space was considered in both initial segmentation and fin detection stages among the examined channels of RGB, HSV, and L*a*b* color spaces. The back-belly and …

0106 biological sciencesFinbiologyOrientation (computer vision)ForestryImage processing04 agricultural and veterinary sciencesHSL and HSVHorticultureColor spacebiology.organism_classification01 natural sciencesComputer Science ApplicationsRGB color spaceTrout040103 agronomy & agriculture0401 agriculture forestry and fisheriesRGB color modelAgronomy and Crop ScienceAlgorithm010606 plant biology & botanyMathematicsComputers and Electronics in Agriculture
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Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs…

2020

Abstract Image processing and artificial intelligence (AI) techniques have been applied to analyze, evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A total of 577 mulberries were graded by an expert and the images were captured by an imaging system. Then, the geometrical properties, color, and texture characteristics of each segmented mulberry was extracted using two feature reduction methods: Correlation-based Feature Selection subset (CFS) and Consistency subset (CONS). Artificial Neural Networks (ANN) and Support Vector Machine (SVM) were applied to classify mulberry fruit. ANN classification with the CFS subset feature extraction method res…

0106 biological sciencesArtificial neural networkbusiness.industryFeature extractionPattern recognitionFeature selectionImage processing04 agricultural and veterinary sciencesHorticulturecomputer.software_genreRipeness01 natural sciencesExpert system040501 horticultureMachine vision systemSupport vector machineArtificial intelligence0405 other agricultural sciencesbusinessAgronomy and Crop Sciencecomputer010606 plant biology & botanyFood ScienceMathematicsPostharvest Biology and Technology
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Design and Simulation of a Vision-Based Automatic Trout Fish-Processing Robot

2021

Today, industrial automation is being applied in a wide range of fields. The initial modeling of robots and mechanical systems together with simulation results in optimal systems. In this study, the designed system is simulated to obtain the required velocities, accelerations and torques of the actuating arms in a vision-based automatic system. Due to the slippery skin of fish and the low friction coefficient, it is not easy to design an optimal tool to handle fish. Since the fish-processing operation is undertaken step by step and provides fish stability, it is essential that the gripper enables different processing operations along the system. The proposed system performs belly-cutting, b…

Technology0209 industrial biotechnologyQH301-705.5Machine visionComputer scienceQC1-999Enginyeria02 engineering and technology020901 industrial engineering & automationElectrònicaControl theoryRange (aeronautics)TorqueGeneral Materials ScienceBiology (General)QD1-999InstrumentationFish processingAutomatitzaciófish processing machineFluid Flow and Transfer Processestroutbusiness.industryTPhysicsProcess Chemistry and TechnologyGeneral Engineering04 agricultural and veterinary sciencesEngineering (General). Civil engineering (General)simulationAutomationVisió artificial (Robòtica)Computer Science ApplicationsMechanical systemChemistry040102 fisheries0401 agriculture forestry and fisheriesRobotvision based systemTA1-2040ActuatorbusinessApplied Sciences
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Design, fabrication and evaluation of an online Intelligent machine for trout beheading and gutting

2021

La clasificación y procesado de pescado empleando máquinas automáticas reduce costes e incrementa el volumen de procesado. Después de su llegada a los mercados de distribución mayorista y minorista, el tamaño de los ejemplares suele ser muy variado para la mayoría de las especies (trucha, caballa, dorada, lubina, etc.). Debido a ello, la limpieza y corte de pescado se realiza habitualmente de forma manual. Este proceso involucra diferentes pasos y a menudo se corta en función de la demanda del usuario: sin cabeza, sin vísceras, sin cabeza ni vísceras, fileteado, etc. Combinando diferentes elementos tecnológicos, hoy en día es posible el desarrollo de sistemas automáticos capaces de mejorar …

troutUNESCO::CIENCIAS TECNOLÓGICAS::Tecnología e ingeniería mecánicas::Maquinaria para la industria de la alimentaciónfish processingfish cleaning machineimage processingmachine automation:CIENCIAS TECNOLÓGICAS::Tecnología e ingeniería mecánicas::Maquinaria para la industria de la alimentación [UNESCO]
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