Explore MATLAB source code curated for "二阶导数" with clean implementations, documentation, and examples.
The improved nonlinear anisotropic diffusion method for edge-preserving image denoising incorporates second-order derivatives to achieve superior filtering performance and better edge preservation.
The Gaussian function, characterized by its low-pass filtering properties, serves as a wavelet basis function for singularity analysis. Utilizing its first and second derivatives enables precise identification and characterization of abrupt changes in signals, with implementations often involving convolution operations and derivative computations for feature extraction.
Implementing edge detection with the LoG algorithm, which utilizes second-order derivatives of grayscale values to identify edges by detecting zero-crossings in the processed image.