Robust classification approach for segmentation of blood defects in cod fillets based on deep convolutional neural networks and support vector machines and calculation of gripper vectors for robotic processing

Research article (Computers and Electronics in Agriculture, 2017) · cited 23× · AI/ML
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Robust classification approach for segmentation of blood defects in cod fillets based on deep convolutional neural networks and support vector machines and calculation of gripper vectors for robotic processing

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Robust classification approach for segmentation of blood defects in cod fillets based on deep convolutional neural networks and support vector machines and calculation of gripper vectors for robotic processing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Robust classification approach for segmentation of blood defects in cod fillets based on deep convolutional neural networks and support vector machines and calculation of gripper vectors for robotic processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-classification-approach-for-segmentation-of-blood-defects-in-cod-fillets-based-on-deep-convolutional-neural-netwo
MLA “Robust classification approach for segmentation of blood defects in cod fillets based on deep convolutional neural networks and support vector machines and calculation of gripper vectors for robotic processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-classification-approach-for-segmentation-of-blood-defects-in-cod-fillets-based-on-deep-convolutional-neural-netwo.
BibTeX @misc{4ortxyz_robust-classification-approach-for-segmentation-of-blood-defects-in-cod-fillets-based-on-deep-convolutional-neural-netwo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust classification approach for segmentation of blood defects in cod fillets based on deep convolutional neural networks and support vector machines and calculation of gripper vectors for robotic processing}}, year = {2026}, url = {https://4ort.xyz/entity/robust-classification-approach-for-segmentation-of-blood-defects-in-cod-fillets-based-on-deep-convolutional-neural-netwo}, note = {Accessed: 2026-05-24}}
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