Results 201 to 210 of about 303,248 (261)
ROI extraction in corona virus (COVID 19) CT images using intuitionistic fuzzy edge detection. [PDF]
HeliyonS N K, S K, Zafar S, Kumar HA.
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Automated medication verification system (AMVS): System based on edge detection and CNN classification drug on embedded systems. [PDF]
HeliyonChiu YJ.
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Energy Efficient Memristor Based on Green-Synthesized 2D Carbonyl-Decorated Organic Polymer and Application in Image Denoising and Edge Detection: Toward Sustainable AI. [PDF]
Adv Sci (Weinh)Pal P +8 more
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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
Vincent Aldo Torre +2 more
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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
Vincent Aldo Torre +2 more
exaly +3 more sources
Edge detection and motion detection
Image and Vision Computing, 1986Abstract This paper presents an integrated theory of edge detection, curvature measurement and motion detection during the earliest stages of visual processing. No assumptions are necessary about the viewed objects or about surface properties and the viewing geometry.
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A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal assumptions about the form of the solution. We define detection
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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.
Vishvjit S. Nalwa, Thomas 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.
Vishvjit S. Nalwa, Thomas O. Binford
openaire +2 more sources
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