Segmentation of liver in abdominal computed tomography (CT) is an important step for
radiation therapy planning of hepatocellular carcinoma. Practically, a fully automatic …

A principled method for active contour (AC) parameterization remains a challenging issue in
segmentation research, with a potential impact on the quality, objectivity, and robustness of …

In this article we propose a novel tool that takes an initial segmented image and returns a
more accurate segmentation that accurately captures sharp features such as leaf tips, twists …

A Kalman filter‐based spatio‐temporal seam determination scheme is proposed in this study
for video retargeting through seam carving. In probably a first, the authors' retargeting …

This work introduces a novel framework for unsupervised parameterization of region-based
active contour regularization and data fidelity terms, which is applied for medical image …

In this article, we investigate the relationship between the range of optimal parameters of
active contour models and the shape of the target object. We focus on the weights of the …

The incidence of thyroid nodule has increased enormously in recent years. Nowadays,
computer-aided diagnosis (CAD) systems using ultrasound images have been widely …

Parameterization is an open issue in active contour research, associated with the
cumbersome and time-consuming process of empirical adjustment. This work introduces a …

This paper presents a novel framework for unsupervised level set parameterization using
multi-scale filtering. A standard multi-scale, directional filtering algorithm is used in order to …

This thesis introduces unsupervised image analysis algorithms for the segmentation of
several types of images, with an emphasis on proteomics and medical images …