Power law distributions, also known as heavy tail distributions, model distinct real life
phenomena in the areas of biology, demography, computer science, economics, information …

In this article we propose a novel approach to compute an image saliency map based on
computing local saliencies over random rectangular regions of interest. Unlike many of the …

Power laws, also known as Pareto-like laws or Zipf-like laws, are commonly used to explain
a variety of real world distinct phenomena, often described merely by the produced signals …

This paper deals with the difficult problem of indexing ancient graphic images. It tackles the
particular case of indexing drop caps (also called Lettrines) and specifically, considers the …

The transition method for image binarization is based on the concept of t-transition pixels, a
generalization of edge pixels, and t-transition sets. We introduce a novel unsupervised …

In steganalysis, there exist a good number of feature extraction techniques; the most
commonly used feature extraction technique is based on the Discrete Wavelet Transform …

Breast cancer is becoming the leading form of cancer among women worldwide, indeed,
there are no effective ways to prevent this disease at present, therefore, it's early screening …

The determination of Region-of-Interest can be used as a means of improving the
performance of image retrieval, when used in image annotation as a step in the indexing of …

In this paper, a multiobjective (MO) learning approach to image feature extraction is
described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic …

This paper presents a method for graphical drop caps indexing. Drop caps are extracted
from old books. Finding a method classifying them according to styles defined by the …