Anisotropic fractal snakes

The segmentation and tracking of visual patterns, particularly those patterns related to natural imagery, have sparked renewed interest in the computer vision and image processing communities. Applications in robotics, automated systems, geographical information systems, etc. require efficient and accurate methods for processing visual data. Prior work in textural analysis has led to systems with promising accuracy, but poor efficiency. Work on fractal snakes provided both accuracy and efficiency, but at the loss of orientation with respect to the texture. In many applications, resolving orientation is an important piece of information. We have built upon our work in fractal snakes to expand our snake models from a purely isotropic measure of surface roughness to an orientation sensitive model: the Anisotropic Fractal Snake.