Results 11 to 20 of about 5,060,163 (327)
IEEE Transactions on Image Processing, 2001 In this paper, we propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah functional for segmentation and level sets.
T F Chan
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Harmonic Active Contours [PDF]
IEEE Transactions on Image Processing, 2014 We propose a segmentation method based on the geometric representation of images as 2-D manifolds embedded in a higher dimensional space. The segmentation is formulated as a minimization problem, where the contours are described by a level set function and the objective functional corresponds to the surface of the image manifold.
Virginia Estellers +3 more
core +6 more sources
Directional geodesic active contours [PDF]
2012 19th IEEE International Conference on Image Processing, 2012 We present a non-conformal metric that generalizes the geodesic active contours approach for image segmentation. The new metric is obtained by adding to the Euclidean metric an additional term that penalizes the misalignment of the curve with the image gradient and multiplying the resulting metric by a conformal factor that depends on the edge ...
Guillermo Gallego 0002 +2 more
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Active Contours Driven by Multi-Feature Gaussian Distribution Fitting Energy with Application to Vessel Segmentation. [PDF]
PLoS One, 2015 Active contour models are of great importance for image segmentation and can extract smooth and closed boundary contours of the desired objects with promising results. However, they cannot work well in the presence of intensity inhomogeneity.
Wang L, Zhang H, He K, Chang Y, Yang X.
europepmc +2 more sources
LBP-guided active contours [PDF]
Pattern Recognition Letters, 2008 This paper investigates novel LBP-guided active contour approaches to texture segmentation. The local binary pattern (LBP) operator is well suited for texture representation, combining efficiency and effectiveness for a variety of applications. In this light, two LBP-guided active contours have been formulated, namely the scalar-LBP active contour (s ...
Michalis A. Savelonas +2 more
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A Characteristic Function-Based Algorithm for Geodesic Active Contours [PDF]
SIAM Journal of Imaging Sciences, 2020 Active contour models have been widely used in image segmentation, and the level set method (LSM) is the most popular approach for solving the models, via implicitly representing the contour by a level set function.
Jun Ma +3 more
semanticscholar +1 more source
Wasserstein active contours [PDF]
2012 19th IEEE International Conference on Image Processing, 2012 In this paper, we propose a novel and rigorous framework for region-based active contours that combines the Wasserstein distance between statistical distributions in arbitrary dimension and shape derivative tools. To speed-up the computation and be able to handle high-dimensional features and large-scale data, we introduce an approximation of the ...
Peyré, Gabriel +2 more
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Nonlocal Active Contours [PDF]
SIAM Journal on Imaging Sciences, 2012 This article introduces a novel class of active contour models for image segmentation. It makes use of nonlocal comparisons between pairs of patches within each region to be segmented. The corresponding variational segmentation problem is implemented using a level set formulation that can handle an arbitrary number of regions.
Miyoun Jung +2 more
openaire +4 more sources
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
doaj +1 more source
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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