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Non-parametric edge detection in speckled imagery
(Universidade Federal de Pernambuco, 2014)
A comparison of gradient versus color and texture analysis for lane detection and tracking
(IEEE, 2009)
Accurate lane detection in real-time is a critical task in autonomous vehicle guidance and lane departure warning for driver assistance. Existing vision-based approaches rely mostly on some analysis of the spatial gradient ...
Performing edge detection by difference of Gaussians using q-Gaussian kernels
(Institute of Physics - IOPBristol, 2014)
In image processing, edge detection is a valuable tool to perform the extraction of features from an image. This detection reduces the amount of information to be processed, since the redundant information (considered less ...
Dynamic programming approach for road centerline extraction from digital images
(2004-12-01)
This paper presents a dynamic programming approach for semi-automated road extraction from medium-and high-resolution images. This method is a modified version of a pre-existing dynamic programming method for road extraction ...
The Canny detector with edge region focusing using an anisotropic diffusion process
(2006-12-01)
This paper proposes a methodology for edge detection in digital images using the Canny detector, but associated with a priori edge structure focusing by a nonlinear anisotropic diffusion via the partial differential equation ...
The Canny detector with edge region focusing using an anisotropic diffusion process
(2006-12-01)
This paper proposes a methodology for edge detection in digital images using the Canny detector, but associated with a priori edge structure focusing by a nonlinear anisotropic diffusion via the partial differential equation ...
Aligning Figurative Paintings With Their Sources for Semantic Interpretation
This paper reports steps in probing the artistic methods of figurative painters through computational algorithms. We explore a comparative method that investigates the relation between the source of a painting, typically ...
On the performance of Some Edge Detectors for Gray Scale Images
(Old City Publishing Inc, 2019-03)
Image processing represents an important challenge in different fields. Mathematical Morphology uses concepts from set theory, geometry, algebra and topology to analyze the geometrical structure of an image. Using them, ...
A brief analysis of the holistically-nested edge detector
(Centre Borelli, ENS Paris-Saclay; DMI, Universitat de les Illes Balears; Fing, Universidad de la República., 2022)
This work describes the HED method for edge detection. HED uses a neural network based on a VGG16 backbone, supplemented with some extra layers for merging the results at different scales. The training was performed on an ...