This paper presents a new variational framework for detecting and tracking multiple moving
objects in image sequences. Motion detection is performed using a statistical framework for …

Efficient segmentation of globally optimal surfaces representing object boundaries in
volumetric data sets is important and challenging in many medical image analysis …

Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …

Active contour and surface models, also known as deformable models, are powerful image
segmentation techniques. Geometric deformable models implemented using level set …

We introduce new results connecting differential and morphological operators that provide a
formal and theoretically grounded approach for stable and fast contour evolution. Contour …

Automated visual-tracking of cell populations in vitro using time-lapse phase contrast
microscopy enables quantitative, systematic, and high-throughput measurements of cell …

Image processing is a technique which is used to derive information from the images.
Segmentation is a section of image processing for the separation or segregation of …

In this paper, we present a new information-theoretic approach to image segmentation. We
cast the segmentation problem as the maximization of the mutual information between the …

Background The role of a sensor element is to measure incident irradiance and record that
quantity as an image intensity value. However, physical constraints limit the maximum …

This paper proposes a new front propagation flow for boundary extraction. The proposed
framework is inspired by the geodesic active contour model and leads to a paradigm that is …