Built-in Mathematica Symbol

LineIntegralConvolutionPlot

LineIntegralConvolutionPlot[{{v_x, v_y}, image}, {x, x_min, x_max}, {y, y_min, y_max}]
generates a line integral convolution plot of image convolved with the vector field {v_x, v_y} as a function of x and y.

LineIntegralConvolutionPlot[{v_x, v_y}, {x, x_min, x_max}, {y, y_min, y_max}]
generates a line integral convolution plot of white noise with the vector field {v_x, v_y}.

MORE INFORMATION

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 {v_x, v_y}.

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.