Results 11 to 20 of about 38,252 (256)
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
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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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Multiscale Active Contours [PDF]
International Journal of Computer Vision, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bresson, X. +2 more
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Segmentation of Plantar Foot Thermal Images Using Prior Information
Sensors, 2022 Diabetic foot (DF) complications are associated with temperature variations. The occurrence of DF ulceration could be reduced by using a contactless thermal camera.
Asma Bougrine +5 more
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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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Sensors, 2021 Glaucoma is a neurodegenerative disease process that leads to progressive damage of the optic nerve to produce visual impairment and blindness. Spectral-domain OCT technology enables peripapillary circular scans of the retina and the measurement of the ...
Rafael Berenguer-Vidal +6 more
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Gaussian Mixture Model Based Probabilistic Modeling of Images for Medical Image Segmentation
IEEE Access, 2020 In this paper, we propose a novel image segmentation algorithm that is based on the probability distributions of the object and background. It uses the variational level sets formulation with a novel region based term in addition to the edge-based term ...
Farhan Riaz +8 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
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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
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An Active Contour Method Based on Regularized Kernel Fuzzy C-Means Clustering
IEEE Access, 2021 This research presents hybrid level set evolution for complex and inhomogeneous image segmentation. Firstly, we develop an adaptive force with level set evolution, which is driven by region information.
Shafiullah Soomro +4 more
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