Results 201 to 210 of about 323,476 (264)
Optimizing support vector machine (SVM) by social spider optimization (SSO) for edge detection in colored images. [PDF]
Sci RepWang J.
europepmc +1 more source
Image edge detection enhancement using coefficients of Sakaguchi type functions mapped onto petal shaped domain. [PDF]
HeliyonNithiyanandham EK, Srutha Keerthi B.
europepmc +1 more source
Retinal prosthesis edge detection (RPED) algorithm: Low-power and improved visual acuity strategy for artificial retinal implants. [PDF]
PLoS OneOh Y, Hong J, Kim J.
europepmc +1 more source
ROI extraction in corona virus (COVID 19) CT images using intuitionistic fuzzy edge detection. [PDF]
HeliyonS N K, S K, Zafar S, Kumar HA.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
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
Vincent Torre, Tomaso A. Poggio
openaire +3 more sources
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
Vincent Torre, Tomaso A. Poggio
openaire +3 more sources
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.
Vishvjit S. Nalwa, Thomas O. Binford
openaire +2 more sources
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.
Vishvjit S. Nalwa, Thomas O. Binford
openaire +2 more sources
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.
James S. J. Lee +2 more
openaire +1 more source
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.
James S. J. Lee +2 more
openaire +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
openaire +5 more sources
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 +5 more sources
MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM), 2017
Anomaly detection is the process of identifying unusual signals in a set of observations. This is a vital task in a variety of fields including cybersecurity and the battlefield. In many scenarios, observations are gathered from a set of distributed mobile or small form factor devices.
Joseph Schneible, Alex Lu
openaire +1 more source
Anomaly detection is the process of identifying unusual signals in a set of observations. This is a vital task in a variety of fields including cybersecurity and the battlefield. In many scenarios, observations are gathered from a set of distributed mobile or small form factor devices.
Joseph Schneible, Alex Lu
openaire +1 more source