Results 31 to 40 of about 13,906,445 (282)
A variational model in image processing with focal points [PDF]
Summary: We propose a model for segmentation problems involving an energy concentrated on the vertices of an unknown polyhedral set, where the contours of the images to be recovered have preferred directions and focal points. We prove that such an energy is obtained as a \(\Gamma\)-limit of functionals defined on sets with smooth boundary that involve ...
BRAIDES, ANDREA, Riey, G.
openaire +2 more sources
A new image deconvolution method with fractional regularisation
Image deconvolution is an important pre-processing step in image analysis which may be combined with denoising, also an important image restoration technique, and prepares the image to facilitate diagnosis in the case of medical images and further ...
Bryan M Williams +2 more
doaj +1 more source
VARIATIONAL PRINCIPLES IN IMAGE PROCESSING AND THE REGULARIZATION OF ORIENTATION FIELDS
Variational principles and partial differential equations have proved to be fundamental elements in the mathematical modeling of extended systems in physics and engineering. Of particular interest are the equations that arise from a free energy functional. Recently variational principles have begun to be used in Image Processing to perform basic tasks
Jaime Cisternas +3 more
openaire +7 more sources
Image compression with anisotropic diffusion [PDF]
Compression is an important field of digital image processing where well-engineered methods with high performance exist. Partial differential equations (PDEs), however, have not much been explored in this context so far. In our paper we introduce a novel
Welk, Martin +19 more
core +1 more source
Power mean based image segmentation in the presence of noise
In image segmentation and in general in image processing, noise and outliers distort contained information posing in this way a great challenge for accurate image segmentation results.
Afzal Rahman +7 more
doaj +1 more source
Variational image registration using inhomogeneous regularization [PDF]
We present a generalization of the convolution basedvariational image registration approach, in which differentregularizers can be implemented by conveniently exchangingthe convolution kernel, even if it is nonseparableor nonstationary.
Albrecht, Thomas +4 more
core +1 more source
AbstractWe propose a new variational model in Sobolev–Orlicz spaces with non-standard growth conditions of the objective functional and discuss its applications to image processing. The characteristic feature of the proposed model is that the variable exponent, which is associated with non-standard growth, is unknown a priori and it depends on a ...
C. D'Apice +3 more
openaire +4 more sources
Geometrical-based algorithm for variational segmentation and smoothing of vector-valued images
An optimisation method based on a nonlinear functional is considered for segmentation and smoothing of vector-valued images. An edge-based approach is proposed to initially segment the image using geometrical properties such as metric tensor of the ...
B.S. Sharif +3 more
core +2 more sources
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source

