Results 31 to 40 of about 5,060,163 (327)
An Active Contour Method Based on Regularized Kernel Fuzzy C-Means Clustering
This research presents hybrid level set evolution for complex and inhomogeneous image segmentation. Firstly, we develop an adaptive force with level set evolution, which is driven by region information.
Shafiullah Soomro +4 more
doaj +1 more source
A method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the second one via a partial Differential equation, while tracking the deformation of the curves of interest in the first image with an additional, coupled, partial Differential ...
Marcelo Bertalmío +2 more
openaire +2 more sources
Ontology-Coupled Active Contours for Dynamic Video Scene Understanding [PDF]
In this paper, we present an innovative approach coupling active contours with an ontological representation of knowledge, in order to understand scenes acquired by a moving camera and containing multiple non-rigid objects evolving over space and time ...
McCluskey, Thomas L. +4 more
core +1 more source
Gaussian Mixture Model Based Probabilistic Modeling of Images for Medical Image Segmentation
In this paper, we propose a novel image segmentation algorithm that is based on the probability distributions of the object and background. It uses the variational level sets formulation with a novel region based term in addition to the edge-based term ...
Farhan Riaz +8 more
doaj +1 more source
Higher Order Active Contours [PDF]
We introduce a new class of active contour models that hold great promise for region and shape modelling, and we apply a special case of these models to the extraction of road networks from satellite and aerial imagery. The new models are arbitrary polynomial functionals on the space of boundaries, and thus greatly generalize the linear functionals ...
Marie Rochery +2 more
openaire +3 more sources
Shape-based active contours for fast video segmentation [PDF]
In this letter, we propose a shape-based active contours method for segmentation, based on a piecewise-constant approximation of the Mumford-Shah (M-S) functional.
Mahmoodi, Sasan
core +1 more source
Active Contours Driven by Cellular Neural Networks for Image Segmentation in Biomedical Applications [PDF]
This paper proposes a novel approach for image segmentation in the context of biomedical applications. The medical images considered for this analysis are both microarray images and images recorded from microfluidics devices. In case of microarray images,
Bogdan BELEAN
doaj +1 more source
Sparse Texture Active Contour [PDF]
In image segmentation, we are often interested in using certain quantities to characterize the object, and perform the classification based on criteria such as mean intensity, gradient magnitude, and responses to certain predefined filters. Unfortunately, in many cases such quantities are not adequate to model complex textured objects.
Yi Gao 0002 +3 more
openaire +4 more sources
This paper proposes a computer assisted diagnostic system for the detection of melanoma in dermoscopy images. Clinical findings have concluded that in case of melanoma, the lesion borders exhibit differential structures such as pigment networks and ...
F. Riaz +3 more
semanticscholar +1 more source
Cage Active Contours for image warping and morphing
Cage Active Contours (CACs) have shown to be a framework for segmenting connected objects using a new class of parametric region-based active contours.
Jeroni Carandell +2 more
doaj +1 more source

