Reaction: Imaging vector fields using line integral convolution

This paper is significant as image vector fields has applications in science, arts, image processing and various special effects. Algorithms that can image directional information should have wide applications across scientific and artistic domains and would possess a number of desirable properties such as accuracy, locality of calculation, simplicity, controllability and generality. Line integral convolution is one of a kind. LIC is a technique that can image dense vector fields and is independent of both predefined sampling placement constraints and texture generation techniques. At the same time it can work in two/three dimensions. The comparison of the LIC algorithm with the by then present DDA algorithm shows its significance and effectiveness. The mathematical depiction of the model helps analyze the algorithm in a very lucid fashion. The LIC algorithm's success depends on the shape of the filter used for defining contrast of the system/ texture of the system. The output of the algorithm is very useful and can be operated in any way by defining various normalization values for brightness and contrast values of resultant image.