[IPOL announce] new article: A Brief Analysis of the Holistically-Nested Edge Detector

[announcements about the IPOL journal]

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.