Image analysis by bidimensional empirical mode decomposition
By Jean-Claude Nunes, Y. Bouaoune, É. Deléchelle, Oumar Niang, P. Bunel. Image and Vision Computing, 2003
716 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/59b17f6d19a52f8aae177476cbcf7ebe4cb8f8c4
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
- Zhaohua Wu
- Norden E. Huang
- Naveed Urr Rehman
- Danilo P. Mandic
- S. Sinclair
- Siddharth Suryanarayanan
- Paulo F. Ribeiro
- Nilanjan Senroy
In Control and Systems Engineering
- Naveed Urr Rehman
- Danilo P. Mandic
- Norden E. Huang
- Zhaohua Wu
- Nilanjan Senroy
- Siddharth Suryanarayanan
- Paulo F. Ribeiro
- S. Sinclair
In Molecular Biology
Citations in the corpus
- Texture analysis based on local analysis of the Bidimensional Empirical Mode Decomposition (2005, methodology): “Indeed, we implemented a bidimensional EMD (BEMD) [64].”
- Empirical Mode Decomposition in 2-D space and time: a tool for space-time rainfall analysis and nowcasting (2005, methodology): “Nunes et al. (2003) develop a technique, which they term “Bidimensional Empirical Mode Decomposition” (BEMD) in the context of texture analysis in image data where they demonstrate several examples of intrinsic mode extraction from image data.”
- Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis (2013, methodology): “The bidimensional EMD belongs to Class I3 [33] and interpolates image extrema though radial basis functions (tensor product) or B-splines (Class I2), using the Riesz transforms instead of the HT to compute the local wave number.”
- An Improved Hilbert–Huang Method for Analysis of Time-Varying Waveforms in Power Quality (2007, background): “It has, since then, been applied to problems in biomedical engineering [15], image processing [ 16 ], and structural safety [17].”