Abstract—Active contours yield segmentation results which depend on an initial empirical parameterization stage. The latter is a tedious and time-consuming process that requires technical skills from the end user. Automated adjustment of active contour parameters is still a challenging issue. This survey reviews state-of-the-art active contours which attempt to cope with the issue of empirical parameterization, so as to secure the objectivity and robustness of the segmentation results. Numerous attempts utilize information associated with contour evolution and shape priors, whereas others are hybrid, driven by both empirical and automatically obtained parameter settings. Most recent models are spatially varying and versatile regarding the a...
International audienceIn recent years, the field of active-contour based image segmentation have see...
International audienceSnakes or active contours are widely used for image segmentation. There are ma...
Abstract Medical doctors are typically required to segment medical images by means of computational ...
AbstractActive contours are commonly used in many image segmentation applications. There are differe...
Object segmentation is a fundamental problem in computer vision. Active contour is a general mathema...
In this article, we investigate the relationship between the range of optimal parameters of active c...
Abstract—A principled method for active contour (AC) param-eterization remains a challenging issue i...
Active contour models are always designed on the assumption that images are approximated by regions ...
Modern genomics experiments are often conducted in controlled environments on hundreds of plants at ...
Active contours or snakes are widely used for segmentation and tracking. These techniques require th...
Active contours are a popular class of variational models used in computer vision for tracking and s...
The active contour model (ACM) approach in image segmentation is regarded as a research hotspot in t...
The active contour model (ACM) was proposed by Kass et al. in 1988 (M. Kass, A. Witkin, D. Terzopoul...
An active contour model has been widely applied to image segmentation and analysis. A contour model ...
Active contours are now established as a technique for extracting salient contours from an image. Un...
International audienceIn recent years, the field of active-contour based image segmentation have see...
International audienceSnakes or active contours are widely used for image segmentation. There are ma...
Abstract Medical doctors are typically required to segment medical images by means of computational ...
AbstractActive contours are commonly used in many image segmentation applications. There are differe...
Object segmentation is a fundamental problem in computer vision. Active contour is a general mathema...
In this article, we investigate the relationship between the range of optimal parameters of active c...
Abstract—A principled method for active contour (AC) param-eterization remains a challenging issue i...
Active contour models are always designed on the assumption that images are approximated by regions ...
Modern genomics experiments are often conducted in controlled environments on hundreds of plants at ...
Active contours or snakes are widely used for segmentation and tracking. These techniques require th...
Active contours are a popular class of variational models used in computer vision for tracking and s...
The active contour model (ACM) approach in image segmentation is regarded as a research hotspot in t...
The active contour model (ACM) was proposed by Kass et al. in 1988 (M. Kass, A. Witkin, D. Terzopoul...
An active contour model has been widely applied to image segmentation and analysis. A contour model ...
Active contours are now established as a technique for extracting salient contours from an image. Un...
International audienceIn recent years, the field of active-contour based image segmentation have see...
International audienceSnakes or active contours are widely used for image segmentation. There are ma...
Abstract Medical doctors are typically required to segment medical images by means of computational ...