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Surface and Edge Detection for Primitive Fitting of Point Clouds
International Conference on Computer Graphics and Interactive Techniques, 2023Fitting primitives for point cloud data to obtain a structural representation has been widely adopted for reverse engineering and other graphics applications.
Yuanqi Li +5 more
semanticscholar +1 more source
Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction
Computer Vision and Pattern Recognition, 2023Camouflaged object detection (COD) aims to address the tough issue of identifying camouflaged objects visually blended into the surrounding backgrounds. COD is a challenging task due to the intrinsic similarity of camouflaged objects with the background,
Chunming He +6 more
semanticscholar +1 more source
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004
The present manuscript aims at solving four problems of edge detection: the simultaneous detection of all step edges from a fine to a coarse scale; the detection of thin bars with a width of very few pixels; the detection of trihedral junctions; the development of an algorithm with image-independent parameters.
PELLEGRINO F. +2 more
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The present manuscript aims at solving four problems of edge detection: the simultaneous detection of all step edges from a fine to a coarse scale; the detection of thin bars with a width of very few pixels; the detection of trihedral junctions; the development of an algorithm with image-independent parameters.
PELLEGRINO F. +2 more
openaire +4 more sources
Pattern Recognition, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hou, Zujun, Koh, T. S.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hou, Zujun, Koh, T. S.
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986
An edge in an image corresponds to a discontinuity in the intensity surface of the underlying scene. It can be approximated by a piecewise straight curve composed of edgels, i.e., short, linear edgeelements, each characterized by a direction and a position.
V S, Nalwa, T O, Binford
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An edge in an image corresponds to a discontinuity in the intensity surface of the underlying scene. It can be approximated by a piecewise straight curve composed of edgels, i.e., short, linear edgeelements, each characterized by a direction and a position.
V S, Nalwa, T O, Binford
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IEEE Journal on Robotics and Automation, 1986
Edge operators based on gray-scale morphologic operations are introduced. These operators can be efficiently implemented in near real time machine vision systems which have special hardware support for gray-scale morphologic operations. The simplest morphologic edge detectors are the dilation residue and erosion residue operators.
J.S.J. Lee, R.M. Haralick, L.G. Shapiro
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Edge operators based on gray-scale morphologic operations are introduced. These operators can be efficiently implemented in near real time machine vision systems which have special hardware support for gray-scale morphologic operations. The simplest morphologic edge detectors are the dilation residue and erosion residue operators.
J.S.J. Lee, R.M. Haralick, L.G. Shapiro
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986
Edge detection is the process that attempts to characterize the intensity changes in the image in terms of the physical processes that have originated them. A critical, intermediate goal of edge detection is the detection and characterization of significant intensity changes. This paper discusses this part of the edge detection problem. To characterize
V, Torre, T A, Poggio
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Edge detection is the process that attempts to characterize the intensity changes in the image in terms of the physical processes that have originated them. A critical, intermediate goal of edge detection is the detection and characterization of significant intensity changes. This paper discusses this part of the edge detection problem. To characterize
V, Torre, T A, Poggio
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Signal Processing, 2021
Edge detection plays a key role in detecting the boundaries of an object in the image to improve the quality of image edges. The edge detection techniques based on integer order derivatives are more prevalent in literature.
Kanwarpreet Kaur +2 more
semanticscholar +1 more source
Edge detection plays a key role in detecting the boundaries of an object in the image to improve the quality of image edges. The edge detection techniques based on integer order derivatives are more prevalent in literature.
Kanwarpreet Kaur +2 more
semanticscholar +1 more source
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
AAAI Conference on Artificial IntelligenceLimited by the encoder-decoder architecture, learning-based edge detectors usually have difficulty predicting edge maps that satisfy both correctness and crispness.
Yunfan Ye +4 more
semanticscholar +1 more source
A Cooperating Edge Grammar for Edge Detection
1997Edge detection is a fundamental process in many low-level vision algorithms. It generates a concise and a compact description of the image structure, suitable for manipulation in computer vision tasks. In this paper we describe an application of Cellular Automata to the reconstruction of edges in an image.
G. Adorni +2 more
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