This accessible textbook examines the basic technologies needed to support image
processing applications, including the characterization of continuous images, image …

Level set methods (LSMs) have been widely used in image segmentation because of their
good properties which provide more smooth and accurate segmentation results. The edge …

We propose an active contour model using an external force field that is based on
magnetostatics and hypothesized magnetic interactions between the active contour and …

Log preprocessing, a process applied on the raw log before applying a predictive method, is
of paramount importance to failure prediction and diagnosis. While existing filtering methods …

Active contours or snakes have been extensively utilized in handling image segmentation
and classification problems. In traditional active contour models, snake initialization is …

Gradient vector flow (GVF) active contour model shows good performance at concavity
convergence and initialization insensitivity, yet it is susceptible to weak edges as well as …

Active models have been widely used in image processing applications. A crucial stage that
affects the ultimate active model performance is initialization. This paper proposes a novel …

Segmentation of the left ventricle (LV) is a hot topic in cardiac magnetic resonance (MR)
images analysis. In this paper, we present an automatic LV myocardial boundary …

Two hundred and thirty‐seven species of Macrolepidoptera were light trapped at Treborth
Botanical Garden, Gwynedd, UK. Live adults were digitally imaged using a simple …