Results 211 to 220 of about 55,861 (258)
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2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
A novel, physical-based force, called as Lorentz force inspired by classical electrodynamics is introduced for the active contour models, and the truncation computing method of Lorentz Force is detailed. Several comparative results indicate that the new force field has similar effects with the Gradient Vector Flow (GVF) field, but it has a remarkable ...
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A novel, physical-based force, called as Lorentz force inspired by classical electrodynamics is introduced for the active contour models, and the truncation computing method of Lorentz Force is detailed. Several comparative results indicate that the new force field has similar effects with the Gradient Vector Flow (GVF) field, but it has a remarkable ...
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Affine and projective active contour models
Pattern Recognition, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dipti Prasad Mukherjee, Scott T. Acton
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An adaptive Geodesic Active Contour model
2010 Sixth International Conference on Natural Computation, 2010In order to solve the shortcoming of Geodesic Active Contour model that would possibly sink into the non-ideal local minimum when segmenting the objects having concave boundary, an adaptive Geodesic Active Contour model was presented. The new model could adjust the evolution speed of curve based on the curvature of curve and gradient of image by adding
Bo Zhang 0039 +3 more
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Frequency-tuned active contour model
Neurocomputing, 2018Abstract Active contour model (ACM) is able to obtain sub-pixel precision segmentation and has been widely employed in biomedical image analysis and video segmentation. Existing region-based ACMs (RACM) without enough prior constraints, however, easily fail when segmenting low quality images, e.g.
Qing Guo 0005 +5 more
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Texture-adaptive active contour models
2001Unsupervised segmentation is a key challenge for automated quantification of medical images. Although a balloon model is able to detect arbitrarily shaped objects in images, it requires careful adjustment of parameters prior to segmentation. Based on global texture analyses, our method allows to set these parameters automatically for heterogeneous ...
Thomas Martin Lehmann +2 more
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Double Contour Active Shape Models
Procedings of the British Machine Vision Conference 2005, 2005Statistical shape models are often learned from examples based on landmark correspondences between annotated examples. A method is proposed for learning such models from contours with inconsistent bifurcations and loops. It is evaluated on the task of segmenting tibial contours in knee radiographs. Results are presented using various features, distance
Matthias Seise +3 more
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Fast Implicit Active Contour Models
2002Implicit active contour models are widely used in image processing and computer vision tasks. Most implementations, however, are based on explicit updating schemes and are therefore of limited computational efficiency. In this paper, we present fast algorithms based on the semi-implicit additive operator splitting (AOS) scheme for both the geometric ...
Kühne, Gerald +3 more
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Face contour tracking in video using active contour model
2004 International Conference on Image Processing, 2004. ICIP '04., 2005Face contour represents important information used for human face analysis in image and video. Here, we propose an improvement to the conventional active contour model, called Snake, to track complex face contour. We propose using gradient angular difference (GAD) to constrain the Snake contour to the specific face region.
Xiong Bing +2 more
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Image Contour Extraction Based on CNN and Active Contour Model
2009 Fifth International Conference on Natural Computation, 2009A CNN is a dynamic nonlinear system with the local connectivity of cells and easy to be translated into a VLSI implementation. CNNs are very suitable for modeling the physical process of energy propagation since CNNs conserve the physical properties of a continuous structure. For the contour extraction, this paper proposes a method for establishing the
Xiao-Hua Liu, Da Yuan, Jinjiang Li 0001
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Automatic contour detection by encoding knowledge into active contour models
Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201), 2002An original method for an automatic detection of contours in difficult images is proposed. This method is based on a tight cooperation between a multi-resolution neural network and a hidden Markov model-enhanced dynamic programming procedure. This new method is able to overcome the three major drawbacks of the "standard" active contours, initialization
Olivier Gérard, Shérif Makram-Ebeid
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