Line integral convolution: Difference between revisions

Revision as of 18:34, 23 October 2022

Revision as of 18:51, 23 October 2022

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===description for programmers===

Algorithmically, the technique starts by generating in the ___domain of the vector field a random [[grayscale|gray level image]] at the desired output resolution. Then, for every pixel in this image, the forward and backward [[Streamlines, streaklines, and pathlines|streamline]] of a fixed [[arc length]] is calculated. The value assigned to the current pixel is computed by a [[convolution]] of a suitable [[Integral kernel|convolution kernel]] with the gray levels of all the pixels lying on a segment of this streamline. This creates a gray level LIC image.

====Problem====

Visualise field lines of a 2D stationary vector field (stream lines of a 2D steady flow)

====Input====

* vector field: 2D stationary vector field

* noise: stationary white noise ( random texture)

====Output====

result (output image) = Finalfinal LIC image of input vector field.

====Steps====

====constraints ====

==Versions==