An improved Sobel edge detection
By Wenshuo Gao, Xiaoguang Zhang, Lei Yang, Huizhong Liu. International Conference on Computer Science and Information Technologies, 2010
564 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/2ab92d792c2dc1478103edfbbe87d43575d7b27c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Peigen Luo
- Junaed Sattar
- M. Islam
- S. V. Arts
- C. Chandrasekar
- Michael Fulton
- Jungseok Hong
- Peixian Zhuang
In Media Technology
Citations in the corpus
- A Comparison of various Edge Detection Techniques used in Image Processing (2012, methodology): “It also should be noted that this method suffers the same drawbacks as the previous method, due to large contrast between images and the inability to handle the large translations of features [10].”
- Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception (2020, methodology): “However, we found better results and numeric stability by using the norm of image gradients directly; specifically, we use the standard 3 × 3 Sobel operator [24] for computing spatial gradient”