Edge based active contour models are adequate to some extent in segmenting images with
intensity inhomogeneity but often fail when applied to images with poorly defined or noisy …

Active contour model has been used to segment and delineate boundaries in different types
of medical images. It is a popular class of image segmentation and boundary delineation …

Level set methods have been widely used in image processing specially in image
segmentation. This paper presents a new region based active contour model in a variational …

This paper proposes a novel region-based active contour model (ACM) for image
segmentation, which is robust to noise and intensity non-uniformity. The energy functional of …

In the present study, a hybrid active contour image segmentation model was proposed,
which combines the local and global information of an image. Said model can be used to …

We investigated a parametric kernel-driven active contour (PKAC) model, which implicitly
transfers kernel mapping and piecewise constant to modeling the image data via kernel …

Contour finding of distinct features in 2-D/3-D images is essential for image analysis and
computer vision. To overcome the potential problems associated with existing contour …

Active contour models based on the level set method (LSM) are widely used in image
segmentation. The major advantages of these models based on an LSM are topological …

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 …

Automatic extraction of anatomical structure contours from medical images is a 20
challenging task in the presence of missing or unrelated parts, occlusions caused by other …