Blar i Publikasjoner fra CRIStin på emneord "Image segmentation"
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Binary segmentation of medical images using implicit spline representations and deep learning
(Peer reviewed; Journal article, 2021)We propose a novel approach to image segmentation based on combining implicit spline representations with deep convolutional neural networks. This is done by predicting the control points of a bivariate spline function ... -
Robot-supervised Learning of Crop Row Segmentation
(Chapter; Peer reviewed, 2021)We propose an approach for robot-supervised learning that automates label generation for semantic segmentation with Convolutional Neural Networks (CNNs) for crop row detection in a field. Using a training robot equipped ... -
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
(Peer reviewed; Journal article, 2017)Despite advances in computer vision and segmentation techniques, the segmentation of food defects such as blood spots, exhibiting a high degree of randomness and biological variation in size and coloration degree, has ...