Results 291 to 300 of about 5,060,163 (327)

Implicit Active-Contouring with MRF

2009
In this paper, we present a new image segmentation method based on energy minimization for iteratively evolving an implicit active contour. Methods for active contour evolution is important in many applications ranging from video post-processing to medical imaging, where a single object must be chosen from a multi-object collection containing objects ...
Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad   +2 more
openaire   +1 more source

From Inpainting to Active Contours

International Journal of Computer Vision, 2005
We introduce a novel type of region based active contour using image inpainting. Usual region based active contours assume that the image is divided into several semantically meaningful regions and attempt to differentiate them through recovering dynamically statistical optimal parameters for each region. In case when perceptually distinct regions have
François Lauze, Mads Nielsen
openaire   +2 more sources

Geometric models for active contours

Proceedings., International Conference on Image Processing, 2002
A geometric formulation of active contours for 2D, 3D boundary detection and motion tracking is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the image. The evolving contours naturally split and merge, allowing the simultaneous detection of several objects and both interior and ...
openaire   +1 more source

Testing Geodesic Active Contours

2007
Active Contours are a widely used Pattern Recognition technique. Classical Active Contours are curves evolutionate by minimizing an energy function. However, they can detect only one o bject within an image with several objects, and the solution is highly dependent on parameters in its formulation.
Andrés Caro, Teresa Alonso, Pablo García Rodríguez, Maria Luisa Durán, María Mar Ávila   +4 more
openaire   +1 more source

On active contour models and balloons

CVGIP: Image Understanding, 1991
Summary: The use of energy-minimizing curves, known as ``snakes'', to extract features of interest in images has been introduced by \textit{M. Kass}, \textit{A. Witkin} and \textit{D. Terzopoulos} [Int. J. Comput. Vision 1, 321-331 (1987)]. We present a model of deformation which solves some of the problems encountered with the original method.
openaire   +1 more source

Vector-valued active contours

Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996
A framework for object segmentation in vector-valued images is presented in this paper. The first scheme proposed is based on geometric active contours moving towards the objects to be detected in the vector-valued image. Objects boundaries are obtained as geodesics or minimal weighted distance curves in a Riemannian space.
openaire   +1 more source

A geometric model for active contours in image processing

, 1993
V. Caselles, F. Catté, Tomeu Coll, F. Dibos   +3 more
semanticscholar   +1 more source

Active contours driven by local pre-fitting energy for fast image segmentation

Pattern Recognition Letters, 2018
Keyan Ding, Linfang Xiao, G. Weng
semanticscholar   +1 more source

Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation

Signal Processing, 2017
Keyan Ding, Linfang Xiao, G. Weng
semanticscholar   +1 more source

Mapping Thermokarst Lakes on the Qinghai–Tibet Plateau Using Nonlocal Active Contours in Chinese GaoFen-2 Multispectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
B. Tian, Zhen Li, Mei-mei Zhang, Lei Huang, Y. Qiu, Zhixian Li, P. Tang   +6 more
semanticscholar   +1 more source