Results 271 to 280 of about 58,873 (300)

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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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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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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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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Dike detection using active contour model

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
A dike detection method based on active contour model is introduced in this paper for our flood management project. Experimental result on DEM (Digital Elevation Model) of Jingjiang River of China shows that a continuous and closed dike description could be gotten by this method.
Gang Wu 0017, Véronique Prinet, Feng Wang 0014, Songde Ma   +3 more
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Facial boundary detection with an active contour model

Pattern Recognition Letters, 2007
This paper presents an active contour model for extracting accurate facial regions in complex environments. In the model, a contour is represented by a zero level set of level function @f, and evolved via level set partial differential equations. Then, unlike general active contours, skin-color information that is represented by 2D-Gaussian model is ...
Jae Sik Chang, Eun Yi Kim, Hang Joon Kim
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Clustering-based control of active contour model

Object recognition supported by user interaction for service robots, 2003
To extract object regions from images, the methods using region-based active contour model (ACM) have been proposed. By controlling ACM with the statistical characteristics of the image properties, these methods effect robust region extraction. However the existing methods require redundant processing and cannot adapt to complex scene images.
Toru Abe, Yuki Matsuzawa
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Active contour model for extracting human faces

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002
In this paper, we propose a facial contour extraction model. The influence of environmental changes on the model is small, and it is based on an active contour model (ACM). Our method has three characteristics: global shape constraint of axis-symmetry, dual-scale filtering and iterative initialization.
Taro Yokoyama, Yasushi Yagi, Masahiko Yachida   +2 more
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