Results 21 to 30 of about 5,060,163 (327)
Multiscale Active Contours [PDF]
International Journal of Computer Vision, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xavier Bresson +2 more
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White Blood Cell Nuclei Segmentation Using Level Set Methods and Geometric Active Contours
International Conference on Digital Image Computing: Techniques and Applications, 2016 A new method for segmenting white blood cells nuclei in microscopic images is presented. Challenges to accurate segmentation include intra-class variation of the nuclei cell boundaries, non-uniform illumination, and changes in the cell topology due to ...
Khamael Al-Dulaimi +3 more
semanticscholar +2 more sources
Learning Deep Structured Active Contours End-to-End [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 The world is covered with millions of buildings, and precisely knowing each instance's position and extents is vital to a multitude of applications. Recently, automated building footprint segmentation models have shown superior detection accuracy thanks ...
Diego Marcos +6 more
semanticscholar +1 more source
Training Data Generation for U-Net Based MRI Image Segmentation using Level-Set Methods
Journal of Mathematical Sciences and Modelling, 2023 Image segmentation has been a well-addressed problem in pattern recognition for the last few decades. As a sub-problem of image segmentation, the background separation in biomedical images generated by magnetic resonance imaging (MRI) has also been of ...
Şükrü Ozan
doaj +1 more source
SRIS: Saliency-Based Region Detection and Image Segmentation of COVID-19 Infected Cases
IEEE Access, 2020 Noise or artifacts in an image, such as shadow artifacts, deteriorate the performance of state-of-the-art models for the segmentation of an image. In this study, a novel saliency-based region detection and image segmentation (SRIS) model is proposed to ...
Aditi Joshi +5 more
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Object Tracking using Generalized Gradient Vector Flow [PDF]
Engineering and Technology Journal, 2011 The aim of an object tracker is to generate the trajectory of an object over time by locating its position in every frame of the video. In this research, we present an object contour tracking approach using Generalized Gradient Vector Flow (GGVF).
Israa A. Alwan
doaj +1 more source
Directionally weakened diffusion for image segmentation using active contours
Frontiers in Applied Mathematics and Statistics, 2023 The active contour model, also known as the snake model, is an elegant approach for image segmentation and motion tracking. The gradient vector flow (GVF) is an effective external force for active contours.
Zhitao Wang +6 more
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Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network [PDF]
IEEE International Conference on Computer Vision, 2019 The task of blood vessel segmentation in microscopy images is crucial for many diagnostic and research applications. However, vessels can look vastly different, depending on the transient imaging conditions, and collecting data for supervised training is
Shir Gur +3 more
semanticscholar +1 more source
Active Contour with a Tangential Component [PDF]
Journal of Mathematical Imaging and Vision, 2014 Conventional edge-based active contours often require the normal component of an edge indicator function on the optimal contours to approximate zero, while the tangential component can still be significant. In real images, the full gradients of the edge indicator function along the object boundaries are often small.
Wang, Junyan, Chan, Kap Luk
openaire +4 more sources
Extracting Agricultural Fields from Remote Sensing Imagery Using Graph-Based Growing Contours
Remote Sensing, 2020 Knowledge of the location and extent of agricultural fields is required for many applications, including agricultural statistics, environmental monitoring, and administrative policies.
Matthias P. Wagner, Natascha Oppelt
doaj +1 more source