Phase Congruency Detects Corners and Edges

By Peter Kovesi. International Conference on Digital Image Computing: Techniques and Applications, 2003

502 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e3c6d3e9481cfc68dfa61e3534e5f7f3b7cfc9c4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jiayi Ma
2. Xiaojun Wu
3. Hui Li
4. Xingyu Jiang
5. Xiaojie Guo
6. Zhenfeng Shao
7. Chaofeng Li
8. Linfeng Tang

Citations in the corpus

• Blind Image Quality Assessment Using a General Regression Neural Network (2011, background): “Phase congruency has been applied to a variety of image processing problems, including compression and reconstruction [49], symmetry detection [50], segmentation [51], text recognition [52], [53], face recognition [54], [55], feature detection [47], [56], [ 57 ], and so on. In [58], the correlation ”
• RIFT: Multi-Modal Image Matching Based on Radiation-Variation Insensitive Feature Transform (2019, background): “However, this formula ignores the effect of orientation changes on the PC measure [54].”
• A review of multimodal image matching: Methods and applications (2021, methodology): “Given the superiority of PC in conjugated structure extraction over gradient [429], Zhang et al.”