Results 21 to 30 of about 71,774 (244)
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 ...
Gallego Bonet, Guillermo +2 more
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The Potential of Active Contour Models in Extracting Road Edges from Mobile Laser Scanning Data
Infrastructures, 2017 Active contour models present a robust segmentation approach, which makes efficient use of specific information about objects in the input data rather than processing all of the data.
Pankaj Kumar, Paul Lewis, Tim McCarthy
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IEEE Access, 2020 Rotator cuff tear (RCT) is a common injury that causes pain and disability in adults. The quantitative diagnosis of the RCT can be crucial in determining a treatment plan or monitoring treatment efficacy.
Moon Hwan Lee +4 more
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Multi-scale and shape constrained localized region-based active contour segmentation of uterine fibroid ultrasound images in HIFU therapy. [PDF]
PLoS ONE, 2014 To overcome the severe intensity inhomogeneity and blurry boundaries in HIFU (High Intensity Focused Ultrasound) ultrasound images, an accurate and efficient multi-scale and shape constrained localized region-based active contour model (MSLCV), was ...
Xiangyun Liao +5 more
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IEEE Access, 2021 Image segmentation is a key technology in the field of computer image processing. Among them, segmentation methods based on active contour models have been developed rapidly in recent years due to their effective processing of complex images such as ...
Xinghuo Ye, Qianyi Wang
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A Novel Active Contour Model Guided by Global and Local Signed Energy-Based Pressure Force
IEEE Access, 2020 Active contour models (ACMs) have been widely applied in the field of image segmentation. However, it is still very challenging to construct an efficient ACM to segment images with intensity inhomogeneity.
Huaxiang Liu +3 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999 A method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the second one via a partial Differential equation, while tracking the deformation of the curves of interest in the first image with an additional, coupled, partial Differential ...
Bertalmío, Marcelo +2 more
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FRACTIONAL DIFFERENTIATION-BASED EDGE ENERGY DRIVEN ACTIVE CONTOURS FOR ROBUST IMAGE SEGMENTATION
ICTACT Journal on Image and Video Processing, 2021 In this paper, a new fractional differentiation-based active contour model for robust image segmentation is presented. A new edge energy is introduced, in which the contour evolution is driven by the difference between the fractional derivatives directed
Srikanth Khanna, V Chandrasekaran
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IET Image Processing, 2019 In the traditional active contour models, global region‐based methods fail to segment images with intensity inhomogeneity, and local region‐based methods are sensitive to initial contour.
Hongli Lv +3 more
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A hybrid level set model for image segmentation.
PLoS ONE, 2021 Active contour models driven by local binary fitting energy can segment images with inhomogeneous intensity, while being prone to falling into a local minima. However, the segmentation result largely depends on the location of the initial contour.
Weiqin Chen +3 more
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