VTK Learning Path--algorithm of Visual Basic algorithm __

   

The algorithm is the core of data visualization, according to the data set structure and type of transformation to classify the algorithm, divided into structural transformation and type transformation.

structure transformation refers to the geometry of a data set structure and Topology transformations.

a type transformation refers to a transformation of a dataset type.

structural transformations can be divided into four categories based on the impact on the data set geometry, Topology, and properties:

1) Geometric transformations only change the geometry itself and do not change the geometry's topological structure. Geometric transformations only change the space position of the object, and the commonly used geometric transformations include: translation, rotation, zooming, and so on.

2) Topological transformations change the topological structure without changing the geometrical shape of the object, which is essentially a transformation of the data set type.

3) attribute data Transformations transform attribute data from one form to another, or generate new attribute data with input data, and attribute data transformations have no effect on the data set's structure. Calculating the size of vectors and generating scalar data from elevation data are all attribute data transformations.

4) The transformations of data set structure and attribute data are transformed into combinatorial transformations, such as: Calculating contour lines, three-dimensional surface, etc. are combined transformations.

according to the type of attribute data to be processed, the algorithm is classified into the following categories:

1) Scalar algorithm

operation scalar data, such as: based on the meteorological data generated numerical contour lines.

2) vector algorithm

An example of vector visualization is the vector data, such as a directed segment that generates the direction of gas flow.

3) tensor algorithm

the tensor matrix is calculated.

4) model algorithm The geometric and topological structure of the data set, the normal vector of the surface, or the texture data, all the algorithms of the above algorithms can be classified as model algorithms.