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2015 IEEE International Conference on Computer Vision (ICCV), ISSN 1550-5499, 12/2015, Volume 2015, pp. 1395 - 1403
We develop a new edge detection algorithm that addresses two critical issues in this long-standing vision problem: (1) holistic image training, and (2)... 
Training | Image edge detection | Neural networks | Detectors | Machine learning | Predictive models | Feature extraction | Learning | Computer vision | Algorithms | Mathematical models | Boundaries | Human behavior | Edge detection | Image detection
Conference Proceeding
International Journal of Computer Vision, ISSN 0920-5691, 12/2017, Volume 125, Issue 1, pp. 3 - 18
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 08/2015, Volume 37, Issue 8, pp. 1558 - 1570
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 1841 - 1848
Edge detection is a critical component of many vision systems, including object detectors and image segmentation algorithms. Patches of edges exhibit... 
Training | Image segmentation | Image color analysis | Image edge detection | realtime vision | Vegetation | Detectors | edge detection | Decision trees | structure learning | Learning | Computer vision | State of the art | Algorithms | Segmentation | Edge detection
Conference Proceeding
Journal Article
Pattern Recognition, ISSN 0031-3203, 04/2013, Volume 46, Issue 4, pp. 1125 - 1139
How to measure the performance of an edge detection method is an open problem. Many performance measures have been presented in the literature. However, there... 
Performance evaluation | Image processing | Edge detection | METHODOLOGY | QUALITY | SEGMENTATION | MODEL | ACTIVE CONTOURS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | DETECTION ALGORITHMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Error detection | Error analysis | Pattern recognition | Proposals | Images
Journal Article
Nature Communications, ISSN 2041-1723, 08/2015, Volume 6, Issue 1, pp. 8037 - 8037
Metamaterials have demonstrated the possibility to produce super-resolved images by restoring propagative and evanescent waves. However, for efficient... 
NEGATIVE REFRACTION | MULTIDISCIPLINARY SCIENCES | Evanescent waves | Image processing | Periodicity | Metamaterials | Acoustics | Image restoration | Periodic variations | Waves | Wavelength | Image detection | Algorithms | Spatial variations | Information transfer | Edge detection
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2001, Volume 23, Issue 12, pp. 1351 - 1365
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 08/2019, Volume 41, Issue 8, pp. 1939 - 1946
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 5872 - 5881
In this paper, we propose an accurate edge detector using richer convolutional features (RCF). Since objects in natural images possess various scales and... 
Lead | Computer vision | Feature extraction | Image color analysis | Image edge detection | Machine learning
Conference Proceeding
International Journal of Theoretical Physics, ISSN 0020-7748, 9/2019, Volume 58, Issue 9, pp. 2823 - 2833
Quantum image processing has been developing rapidly in recent years. In this paper, the edge detection algorithm for quantum images is proposed. Three steps... 
Quantum comparator | Theoretical, Mathematical and Computational Physics | Quantum Physics | Physics, general | Edge detection | Physics | Quantum image processing | Elementary Particles, Quantum Field Theory | Integrated circuits | Equipment and supplies | Algorithms | Image processing | Semiconductor chips | Circuit design | Image detection
Journal Article
Signal Processing, ISSN 0165-1684, 2003, Volume 83, Issue 11, pp. 2421 - 2432
Fractional differentiation techniques for edge detection were discussed. By introducing an edge detector based on non-integer differentiation, the detection... 
Robust edge detector | Noise immunity | Image processing | Fractional differentiation | Edge detection | image processing | fractional differentiation | edge detection | noise immunity | robust edge detector | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Applied Soft Computing, ISSN 1568-4946, 10/2016, Volume 47, pp. 631 - 643
This paper presents the optimization of a fuzzy edge detector based on the traditional Sobel technique combined with interval type-2 fuzzy logic. The goal of... 
Image processing | Interval type-2 fuzzy logic | Edge detection | Cuckoo Search algorithms | DESIGN | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SEARCH | LEVY FLIGHTS | LOGIC | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
2014, ISBN 9781446247112
Reference
Journal of Computational and Applied Mathematics, ISSN 0377-0427, 03/2019, Volume 349, pp. 532 - 547
Edge detection is a widely used tool in signal/image processing with the aim of identifying abrupt changes or discontinuities in a signal/digital image. For... 
Signal/image analysis | RBF interpolation | Variably Scaled Kernels | Gibbs phenomenon | Edge detection | MATHEMATICS, APPLIED | APPROXIMATION | IMAGES | SIGNALS | SHAPE-PARAMETERS | Analysis | Methods | Detectors
Journal Article
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 03/2010, Volume 48, Issue 3, pp. 1224 - 1231