Active contours with selective local or global segmentation: a new formulation and level set method
A novel region-based active contour model (ACM) is proposed in this paper. It is
implemented with a special processing named Selective Binary and Gaussian Filtering …
implemented with a special processing named Selective Binary and Gaussian Filtering …
Active contours driven by local image fitting energy
A new region-based active contour model that embeds the image local information is
proposed in this paper. By introducing the local image fitting (LIF) energy to extract the local …
proposed in this paper. By introducing the local image fitting (LIF) energy to extract the local …
Active contour model combining region and edge information
Y Tian, F Duan, M Zhou, Z Wu - Machine vision and applications, 2013 - Springer
A novel active contour model is proposed by combining region and edge information. Its
level set formulation consists of the edge-related term, the region-based term and the …
level set formulation consists of the edge-related term, the region-based term and the …
An active contour model based on local fitted images for image segmentation
Active contour models are popular and widely used for a variety of image segmentation
applications with promising accuracy, but they may suffer from limited segmentation …
applications with promising accuracy, but they may suffer from limited segmentation …
Active contours driven by local pre-fitting energy for fast image segmentation
Local fitting-based active contour models can segment images with intensity inhomogeneity
effectively, but they are time-consuming and often fall into local minima. In this paper, we …
effectively, but they are time-consuming and often fall into local minima. In this paper, we …
A novel local region-based active contour model for image segmentation using Bayes theorem
Local region-based active contour methods have been widely used to segment images with
intensity inhomogeneity. However, this process can hardly segment images well when …
intensity inhomogeneity. However, this process can hardly segment images well when …
A novel region-based active contour model via local patch similarity measure for image segmentation
It is always difficult to accurately segment images with intensity inhomogeneity because
most of the representative local-based models only take into account rough local information …
most of the representative local-based models only take into account rough local information …
Active contours driven by local likelihood image fitting energy for image segmentation
Accurate image segmentation is an essential step in image analysis and understanding,
where active contour models play an important part. Due to the noise, low contrast and …
where active contour models play an important part. Due to the noise, low contrast and …
A local region-based Chan–Vese model for image segmentation
S Liu, Y Peng - Pattern Recognition, 2012 - Elsevier
In this paper, a new region-based active contour model, namely local region-based Chan–
Vese (LRCV) model, is proposed for image segmentation. By considering the image local …
Vese (LRCV) model, is proposed for image segmentation. By considering the image local …
An active contour model driven by adaptive local pre-fitting energy function based on Jeffreys divergence for image segmentation
P Ge, Y Chen, G Wang, G Weng - Expert Systems with Applications, 2022 - Elsevier
Active contour model (ACM) has been a competitive tool in image segmentation because of
its desired segmentation result and accuracy. Nevertheless, it may become unstable while …
its desired segmentation result and accuracy. Nevertheless, it may become unstable while …