Texture Representation and Classification with Artificial Hikers and Fractals

This work proposes a new method of representing textures on digital images through their maximum (or minimum if the negative of the image is used) and different intensity borders by means of artificial beings called artificial hikers that search for the maximum of a texture image and in doing so, represent the different characteristics of the image. The technique has two main parameters that can be adjusted in order to emphasize the greatest maximum of an image and different frequency borders. The results show that it is a very flexible technique on representing different components of a texture image, working on both natural and artificial images. For the classification of textures, the technique of artificial hikers was combined with fractal dimension analysis and it presented superior results compared to previous works dealing with texture classification with artificial agents.