Improving Edge Detection in RGB Images by Adding NIR Channel.
SITIS（2018）
摘要
The edge detection is yet a critical problem in many computer vision and image processing tasks. The manuscript presents an Holistically-Nested Edge Detection based approach to study the inclusion of Near-Infrared in the Visible spectrum images. To do so, a Single Sensor based dataset has been acquired in the range of 400nm to 1100nm wavelength spectral band. Prominent results have been obtained even when the ground truth (annotated edge-map) is based in the visible wavelength spectrum.
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关键词
Image edge detection,Training,Feature extraction,Computer architecture,Computer vision,Deep learning
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