Edge detection for pattern recognition: a survey
AP James - International Journal of Applied Pattern …, 2016 - inderscienceonline.com
This review provides an overview of the literature on the edge detection methods for pattern
recognition that inspire from the understanding of human vision. We note that edge detection
is one of the most fundamental processes within the low level vision and provides the basis
for the higher level visual intelligence in primates. The recognition of the patterns within the
images relates closely to the spatiotemporal processes of edge formations, and its
implementation needs a cross-disciplinary approach in neuroscience, computing and …
recognition that inspire from the understanding of human vision. We note that edge detection
is one of the most fundamental processes within the low level vision and provides the basis
for the higher level visual intelligence in primates. The recognition of the patterns within the
images relates closely to the spatiotemporal processes of edge formations, and its
implementation needs a cross-disciplinary approach in neuroscience, computing and …
Edge Detection for Pattern Recognition: A Survey
A Pappachen James - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
This review provides an overview of the literature on the edge detection methods for pattern
recognition that inspire from the understanding of human vision. We note that edge detection
is one of the most fundamental process within the low level vision and provides the basis for
the higher level visual intelligence in primates. The recognition of the patterns within the
images relate closely to the spatiotemporal processes of edge formations, and its
implementation needs a crossdisciplanry approach in neuroscience, computing and pattern …
recognition that inspire from the understanding of human vision. We note that edge detection
is one of the most fundamental process within the low level vision and provides the basis for
the higher level visual intelligence in primates. The recognition of the patterns within the
images relate closely to the spatiotemporal processes of edge formations, and its
implementation needs a crossdisciplanry approach in neuroscience, computing and pattern …
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