A digital grayscale image can be described by intensity or pixel values. The gray levels are spread over the images as irregular or inhomogeneous fashion. A number of proposed methods for calculating the optimal thresholding value for image segmentation, but the fractal analysis is an expeditious and significant mathematical approach that distributes with irregular geometric objects. In the rec...

Abstract— Fractal based CBIR is based on the self similarity fundamentals of fractals. Mathematical and natural fractals are the shapes whose roughness and fragmentation neither tend to vanish, nor fluctuate, but remain essentially unchanged as one zooms in continually and examination is refined. Since an image can be characterized by its fractal code, a fractal code can therefore be used as a ...

A stochastic perception-control coupling is introduced for anticipative road following on satellite-roadwayvehicle network. Based on the prediction of roadway pattern in the satellite image, maneuverable area is coded in terms of a fractal attractor confined in the image of observed scene by boundary probability. Random shift of the boundary probability is detected via the perception process an...

Fractal image compression currently relies on the partitioning of an image into both coarse \domain" segments and ne \range" segments, and for each range element, determines the domain element that best transforms into the range element. Under normal circumstances, this algorithm produces a structure equivalent to a recurrent iterated function system. This equivalence allows recent innovations ...

The rapid growth of geographic information technologies in the field processing and analysis spatial data has led to a significant increase role systems various fields human activity. However, solving complex problems requires use large amounts data, efficient storage on on-board recording media their transmission via communication channels. This leads need create new effective methods compress...

The first fully automated fractal image compression algorithm was published by Arnaud Jacquin in 1989. Given an image f , the encoder finds a contractive affine image transformation (fractal transform) T such that the fixed point of T is close to f . The decoding is by iteration of the fractal transform starting from an arbitrary image. Due to the contraction mapping principle, the sequence of ...