Open AccessResearch on Edge Detection Method Based on Improved HED Network
Author(s) -
Lou Li,
Shasha Zang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1607/1/012068
Subject(s) - enhanced data rates for gsm evolution , computer science , convolution (computer science) , artificial intelligence , edge detection , segmentation , layer (electronics) , range (aeronautics) , pattern recognition (psychology) , data mining , computer vision , image (mathematics) , materials science , image processing , artificial neural network , composite material
Aiming at the problem of rough and fuzzy edges generated by the current edge detection technology based on HED network, an improved edge detection method for HED network is proposed. First, the useful information captured by each convolutional layer of HED becomes rougher as the size of the acceptance field increases. The improved HED network makes use of all the information of the convolution layer to capture more targets in a larger range, or make the local boundaries of the targets possible. The improved HED makes full use of the multi-scale and multi-level information of the target to obtain high-precision and high-quality edge maps, which lays a good foundation for image segmentation.