A novel image edge smoothing method based on convolutional neural network
In the field of visual perception, the edges of images tend to be rich in effective visual stimuli, which contribute to the neural network’s understanding of various scenes. Image smoothing is an image processing method used to highlight the wide area, low-frequency components, main part of the imag...
主要な著者: | Hui-hong Xu, Dong-yuan Ge |
---|---|
フォーマット: | 論文 |
言語: | English |
出版事項: |
SAGE Publishing
2020-05-01
|
シリーズ: | International Journal of Advanced Robotic Systems |
オンライン・アクセス: | https://doi.org/10.1177/1729881420921676 |
類似資料
-
A Novel Steganography Method for Infrared Image Based on Smooth Wavelet Transform and Convolutional Neural Network
著者:: Yu Bai, 等
出版事項: (2023-06-01) -
Dual-channel convolutional neural network for power edge image recognition
著者:: Fangrong Zhou, 等
出版事項: (2021-02-01) -
Time-series analysis with smoothed Convolutional Neural Network
著者:: Aji Prasetya Wibawa, 等
出版事項: (2022-04-01) -
A Face Emotion Recognition Method Using Convolutional Neural Network and Image Edge Computing
著者:: Hongli Zhang, 等
出版事項: (2019-01-01) -
On the stability of graph convolutional neural networks under edge rewiring
著者:: Kenlay, H, 等
出版事項: (2021)