structuretensorbased
Structure tensor based methods are a class of algorithms used in image processing and computer vision for analyzing the local structure of an image. These methods rely on the computation of a structure tensor, also known as the second-moment matrix or image gradient matrix. The structure tensor is a 2x2 matrix that captures information about the image's gradient orientation and magnitude within a local neighborhood. Typically, it is computed by averaging the outer product of the image gradient over a defined window. The eigenvalues and eigenvectors of this tensor provide crucial insights into the local image characteristics.
Specifically, the eigenvalues indicate the degree of anisotropy or uniformity in a local region. A large difference
Structure tensor based approaches are robust to noise and can effectively characterize complex image structures. They