smoothing operation
1Smoothing — In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine scale structures/rapid phenomena. Many different… …
2Laplacian smoothing — is an algorithm to smooth a polygonal mesh. For each vertex in a mesh, a new position is chosen based on local information (such as the position of neighbors) and the vertex is moved there. In the case that a mesh is topologically a rectangular… …
3Multi-scale approaches — The scale space representation of a signal obtained by Gaussian smoothing satisfies a number of special properties, scale space axioms, which make it into a special form of multi scale representation. There are, however, also other types of multi …
4Convolution — For the usage in formal language theory, see Convolution (computer science). Convolution of two square pulses: the resulting waveform is a triangular pulse. One of the functions (in this case g) is first reflected about τ = 0 and then offset by t …
5Noise reduction — For sound proofing, see soundproofing. For scientific aspects of noise reduction of machinery and products, see noise control. Noise reduction is the process of removing noise from a signal. All recording devices, both analogue or digital, have… …
6honing stone — A tool used for the final smoothing operation, e.g., when repairing a cylinder wall …
7hand tool — any tool or implement designed for manual operation. * * * Introduction any of the implements used by craftsmen in manual operations, such as chopping, chiseling, sawing, filing, or forging. Complementary tools, often needed as auxiliaries to… …
8Scale space — theory is a framework for multi scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision. It is a formal theory for handling …
9Diode bridge — Three bridge rectifiers. The size is generally related to the current handling capability …
10Affine shape adaptation — is a methodology for iteratively adapting the shape of the smoothing kernels in an affine group of smoothing kernels to the local image structure in neighbourhood region of a specific image point. Equivalently, affine shape adaptation can be… …
