A new article is available in IPOL: https://www.ipol.im/pub/art/2022/422/
Rafael Grompone von Gioi, and Gregory Randall,
A Brief Analysis of the Holistically-Nested Edge Detector,
Image Processing On Line, 12 (2022), pp. 369–377.
https://doi.org/10.5201/ipol.2022.422
Abstract
This work describes the HED method for edge detection. HED uses a neural
network based on a VGG16 backbone, supplemented with some extra layers
for merging the results at different scales. The training was performed
on an augmented version of the BSDS500 dataset. We perform a brief
analysis of the results produced by HED, highlighting its quality but
also indicating its limitations. Overall, HED produces state-of-the-art
results.
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news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/
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