The importance of direction in visualizing the data is realized and the application of this type of data in various fields is significantly improved with the use of line integral convolution. the author shows the drawbacks of other forms of vector fields imaging like DDA convolution and spot noise algorithm which is not helpful in all situations. The calculation of output texture from the input texture is an elegant approach as the algorithm adjusts to the size of the input and displays a good representation.
The use of Line Intergral Convolution algorithm in generating 3-d and 2-d images can be used in various important fields for further extraction of details from the images as this produces a better representation and images can be enhanced and better results obtained with this algorithm. The use of continuous directional motion filters in a local area can be used to implement simple and efficient processing systems.
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