We present an intuitive, fast and accurate 2D interactive segmentation method that combines a general subdivision-curve Snake possessing powerful editing capabilities, with a novel sketch-line user initialization process, and a pen input device. Using the pen (or a mouse), the Snake is quickly and precisely initialized with a few quick sketch lines drawn across the width of the target object. The smooth contour constructed using these lines is extremely close to the position and shape of the object boundary. This makes the Snake's task of snapping to the object boundary much simpler and hence more likely to succeed in noisy images with minimal user editing. We apply our Snake to the segmentation of several 2D medical images to demonstrate it's efficiency, accuracy and robustness. We also compare SketchSnakes to Adobe Photoshop's Magnetic Lasso (Adobe Systems Inc., Adobe Photoshop User Guide, 2002) as well as a recent graph-cut based image cutout tool known as Snap (Digital Film Tools LLC, Snap User Guide, 2007) in order to highlight SketchSnakes effectiveness.
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http://dx.doi.org/10.1016/j.compmedimag.2007.11.004 | DOI Listing |
Biomimetics (Basel)
January 2025
College of Information Science and Engineering, Hohai University, Nanjing 211100, China.
(1) Background: At present, the bio-inspired visual neural models have made significant achievements in detecting the motion direction of the translating object. Variable contrast in the figure-ground and environmental noise interference, however, have a strong influence on the existing model. The responses of the lobula plate tangential cell (LPTC) neurons of Drosophila are robust and stable in the face of variable contrast in the figure-ground and environmental noise interference, which provides an excellent paradigm for addressing these challenges.
View Article and Find Full Text PDFR Soc Open Sci
January 2025
Mathematical Institute, University of Oxford, Oxford, UK.
The flow network model is an established approach to approximate pressure-flow relationships in a bifurcating network, and has been widely used in many contexts. Existing models typically assume unidirectional flow and exploit Poiseuille's law, and thus neglect the impact of bifurcation geometry and finite-sized objects on the flow. We determine the impact of bifurcation geometry and objects by computing Stokes flows in a two-dimensional (2D) bifurcation using the Lightning-AAA Rational Stokes algorithm, a novel mesh-free algorithm for solving 2D Stokes flow problems utilizing an applied complex analysis approach based on rational approximation of the Goursat functions.
View Article and Find Full Text PDFNPJ Antimicrob Resist
May 2024
Ausvet Europe, Lyon, France.
Antimicrobial stewardship (AMS) is a commonly advocated approach to address antimicrobial resistance. However, AMS is often defined in different ways depending on where it is applied, such that a range of definitions is now in use. These definitions may be functional and well-structured for a given context but are often ill-adapted for collaborative work, creating difficulties for intersectoral communication on AMS and complicating the design, implementation, and evaluation of AMS interventions from a One Health perspective.
View Article and Find Full Text PDFElectrophoresis
January 2025
School of Mechanical and Materials Engineering, Washington State University, Pullman, Washington, USA.
Induction heating is one of the cleanest and most efficient methods for heating materials, utilizing electromagnetic fields induced through AC electric current. This article reports an analytical solution for transient heat transfer in a three-dimensional (3D) cylindrical object under induction heating. A simplified form of Maxwell's equations is solved to determine the heat generation inside the cylinder by calculating the current density distribution within the body.
View Article and Find Full Text PDFbioRxiv
January 2025
Center for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, B60 2RU, UK.
Selective attention is widely thought to be sensitive to visual objects. This is commonly demonstrated in cueing studies, which show that when attention is deployed to a known target location that happens to fall on a visual object, responses to targets that unexpectedly appear at other locations on that object are faster and more accurate, as if the object in its entirety has been visually prioritized. However, this notion has recently been challenged by results suggesting that putative object-based effects may reflect the influence of hemifield anisotropies in attentional deployment, or of unacknowledged influences of perceptual complexity and visual clutter.
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