We introduce a new model of parametric contours defined in a continuous fashion. Our curve model relies on Hermite spline interpolation and can easily generate curves with sharp discontinuities; it also grants direct access to the tangent at each location. With these two features, the Hermite snake distinguishes itself from classical spline-snake models and allows one to address certain bioimaging problems in a more efficient way. More precisely, the Hermite snake construction allows introducing sharp corners in the snake curve and designing directional energy functionals relying on local orientation information in the input image. Using the formalism of spline theory, the model is shown to meet practical requirements such as invariance to affine transformations and good approximation properties. Finally, the dependence on initial conditions and the robustness to the noise is studied on synthetic data in order to validate our Hermite snake model, and its usefulness is illustrated on real biological images acquired using brightfield, phase-contrast, differential-interference-contrast, and scanning-electron microscopy.
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http://dx.doi.org/10.1109/TIP.2016.2551363 | DOI Listing |
We introduce a new model of parametric contours defined in a continuous fashion. Our curve model relies on Hermite spline interpolation and can easily generate curves with sharp discontinuities; it also grants direct access to the tangent at each location. With these two features, the Hermite snake distinguishes itself from classical spline-snake models and allows one to address certain bioimaging problems in a more efficient way.
View Article and Find Full Text PDFMed Image Anal
April 2006
Computer Aided Diagnosis and Therapy, Siemens Medical Solutions USA, Inc., Malvern, PA 19355, USA.
Since their debut in 1987, snakes (active contour models) have become a standard image analysis technique with several variants now in common use. We present a framework called "United Snakes", which has two key features. First, it unifies the most popular snake variants, including finite difference, B-spline, and Hermite polynomial snakes in a consistent finite element formulation, thus expanding the range of object modeling capabilities within a uniform snake construction process.
View Article and Find Full Text PDFJ Comput Aided Mol Des
November 1999
Laboratoire de Chimie théorique, Centre Charles Hermite, CNRS-Université Henri Poincaré Nancy I, Vandoeuvre-les-Nancy, France.
G Protein-Coupled Receptors (GPCRs) constitute a superfamily of receptors that forms an important therapeutic target. The number of known GPCR sequences and related information increases rapidly. For these reasons, we are developing the Viseur program to integrate the available information related to GPCRs.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!