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BUILT-IN MATHEMATICA SYMBOL
LineIntegralConvolutionPlot
LineIntegralConvolutionPlot[{{vx, vy}, image}, {x, xmin, xmax}, {y, ymin, ymax}]
generates a line integral convolution plot of image convolved with the vector field 
as a function of x and y.
LineIntegralConvolutionPlot[{vx, vy}, {x, xmin, xmax}, {y, ymin, ymax}]
generates a line integral convolution plot of white noise with the vector field 
.
Details and Options
- LineIntegralConvolutionPlot creates a rasterized version of image, then does a line integral convolution of each pixel according to the field defined by the vector function
. - LineIntegralConvolutionPlot has the same options as Graphics, with the following additions and changes:
-
AspectRatio 1 ratio of height to width BoxRatios Automatic effective 3D box ratios for simulated lighting ColorFunction Automatic how to color background densities ColorFunctionScaling True whether to scale arguments to ColorFunction EvaluationMonitor None expression to evaluate at every function evaluation LineIntegralConvolutionScale Automatic length of convolution along streamlines Frame True whether to draw a frame around the plot FrameTicks Automatic frame tick marks LightingAngle None effective angle for simulated lighting Method Automatic methods to use for the plot PerformanceGoal $PerformanceGoal aspects of performance to try to optimize PlotRange {Full,Full} range of x, y values to include PlotRangePadding Automatic how much to pad the range of values RasterSize Automatic the pixel width of the rasterized image WorkingPrecision MachinePrecision precision to use in internal computations - If image is not specified, or is not already rasterized, a raster is created with a size specified by the RasterSize option.
- With a setting other than LightingAngle->None, simulated lighting is used, with the height at each point being taken to be determined from the norm of the vector field.
- The arguments supplied to ColorFunction are x, y,
, 
, Norm[{vx, vy}].
New in 7
