Canny edge detection enhancement by scale multiplication
By Paul Bao, Lei Zhang, Xiaolin Wu. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
619 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/7ceef645cb31dad57f123282bfc0286db5e8fd6a
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
- Lei Zhang
- David Dapeng Zhang
- Junjun Jiang
- Joseph E. Gonzalez
- Luc Van Gool
- Zhongyuan Wang
- Bo Peng
- Peng Yi
In Media Technology
- David Dapeng Zhang
- Lei Zhang
- Junjun Jiang
- Bo Peng
- Peng Yi
- Zhongyuan Wang
- Joseph E. Gonzalez
- Kui Jiang
Citations in the corpus
- Edge-Enhanced GAN for Remote Sensing Image Superresolution (2019, background): “[50] defined the detection and localization criteria of the scale multiplication.”
- Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data (2020, methodology): “To model this in the simulated images, we randomly color pixels black along areas of high Laplacian gradient and edges detected with a Canny edge detector [1] on the rope along a Perlin noise mask [31].”
- A survey of graph theoretical approaches to image segmentation (2013, methodology): “Early edge detection methods such as the Robert edge detector, the Sobel edge detector [11] and the Canny edge detector [12-13] are based on the abrupt changes in image intensity or color.”