Results 221 to 230 of about 55,861 (258)

An active contour model for object tracking using the previous contour

Artificial Life and Robotics, 2003
An active contour model is proposed for object tracking using prior information. Conventional algorithms have many problems when applied in object tracking. The proposed active contour algorithm, a model using an edge of an adapted color feature, not only modifies the internal energy function of the conventional algorithm to extend the search range and
Cheol-Taek Kim, Lee, JJ Lee, Ju-Jang
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An Active Contour Model for Selective Segmentation

International Conference on Computer Graphics, Imaging and Visualization (CGIV'05), 2005
In this paper, we develop a new active contour model for image selective segmentation. The model adopts cascade anisotropic diffusion preprocessing and a selective term in level set function. Cascade anisotropic diffusion filtering is powerful and flexible to enhance image for various segmentation tasks.
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Learning Active Shape Models for Bifurcating Contours

IEEE Transactions on Medical Imaging, 2007
Statistical 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. Automatic segmentation of tibial and femoral contours in knee X-ray images is investigated as a step towards reliable, quantitative ...
Matthias Seise, Stephen J. McKenna, Ian W. Ricketts, Carlos A. Wigderowitz   +3 more
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Statistical feature modelling for active contours

1996
A method is proposed of robust feature-detection for visual tracking. Frequently strong background clutter competes with foreground features and may succeed in pulling a tracker off target. This effect may be avoided by modelling the appearance of the foreground object (the target). The model consists of probability density functions of intensity along
Simon Rowe, Andrew Blake 0001
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On Active Contour Models

1992
The use of deformable models to extract features of interest in images has been introduced by Kass et al, known as snakes or energy minimizing curves. We present a model of deformation which can solve some of the problems encountered with the original method.
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Fuzzy active contour model

IEE Proceedings - Vision, Image, and Signal Processing, 2000
A new method for representing and tracking of object boundaries is presented, which allows for the integration of uncertain a priori knowledge into an active contour model. The novel concept of fuzzy snakes is developed to allow for an intuitive specification of the properties of an object's boundary.
F. Höwing, L.S. Dooley, D. Wermser
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Contour extraction by multi-level active contour model

6th International Conference on Signal Processing, 2002., 2003
In this paper, an innovative algorithm for object segmentation and contour extraction is proposed, where the active contour evolution based on the Mumford-Shah model is performed on a coarse-to-fine approach spanned by wavelet transform. The multi-level active contour model consists of three main parts: 1).
null Yang Li, null Yang Xin, null He Yi
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A Contour Extraction Method using Active Contour Model on Ultrasonic Images

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
At excision operations of a breast tumor, a navigation to display three-dimensional models during the operations is demanded to grasp a position and a size of the tumor, and to decide an area of the excision. Speckle noises which are characteristic of an ultrasonic image are caused by interference of sound waves.
Masakuni, Oshiro, Toshihiro, Nishimura
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Improvement of contour extraction precision of active contour model with structuring elements

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
To achieve enhanced image recognition, it is necessary to accurately extract the contour of the recognition target from the input image in a preprocessing step. Contour extraction methods based on the active contour model(Snakes) require the operator to specify the parameter values that best catch the shape of the target.
Satoshi Urata, Hiroshi Yasukawa
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Nonlocal active contour model for texture segmentation

Multimedia Tools and Applications, 2016
Texture segmentation is a very important subject in the fields of computer vision. In order to segment the textures, active contour model based on nonlocal means method and tikhonov regularization is proposed. In detail, a new nonlocal tikhonov regularization smoothness term is added. The nonlocal operator is based on the image slice similarity.
Jingge Lu, Guodong Wang 0001, Zhenkuan Pan 0001   +2 more
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