An Edge Detector Based on Artificial Neural Network with Application to Hybrid Compact-WENO Finite Difference Scheme
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Scientific Computing"
DOI: 10.1007/s10915-020-01237-6
Abstract: A new approach is proposed to detect edges based on an artificial neural network (ANN). Some elementary continuous and discontinuous functions interpolated in the polynomial space and their continuity are used as the training sets… read more here.
Keywords: scheme; neural network; edge; edge detector ... See more keywords
A multifractal edge detector
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DOI: 10.1007/s11042-019-08420-4
Abstract: Significant research has been conducted into image edge detection, usually focusing on gradient and higher order derivative approaches. Recent development in the field suggests the incorporation of scale factor in filter design; this is to… read more here.
Keywords: multifractal edge; image; edge detector; edge ... See more keywords
GAN-Based Map Generation Technique of Aerial Image Using Residual Blocks and Canny Edge Detector
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DOI: 10.3390/app142310963
Abstract: As the significance of meticulous and precise map creation grows in modern Geographic Information Systems (GISs), urban planning, disaster response, and other domains, the necessity for sophisticated map generation technology has become increasingly evident. In… read more here.
Keywords: residual blocks; edge detector; edge; canny edge ... See more keywords
Implementation of the Canny Edge Detector Using a Spiking Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Future Internet"
DOI: 10.3390/fi14120371
Abstract: Edge detectors are widely used in computer vision applications to locate sharp intensity changes and find object boundaries in an image. The Canny edge detector is the most popular edge detector, and it uses a… read more here.
Keywords: canny edge; spiking neural; edge detector; edge ... See more keywords