The incidence of colorectal cancers nowadays, with a high rate of mortality, justifies the effort
of scientists from different disciplines in solving this problem. Early detection of pre …

The accurate classification of iron ores is one of the challenging tasks in the mining industry,
and at the same time, it is essential for the future destination of the ores. The present study …

An objective method for identification of certain types of regions in a colonoscopic frame
image, such as intestinal mucosa, intestinal residues or artifacts was developed. The novelty …

A method for iris identification based on local color distribution is proposed. Color feature
vectors are extracted from high quality iris images, manually segmented from the database …

We approach the problem of iris recognition by combining both color and texture
information. For color features, a well-known global color criterion was extended and for …

Interesting results of color clustering for the iris images in the UBIRISv1 database are
presented. The iris colors are characterized by feature vectors with 80 components …

We present the WinICC software package, designed to help in tasks like clusterization or
classification of images based on different feature vectors. The capabilities of this software …

In this paper we present experiments made on an extension of a well-known simple global
color criterion and we present the results obtained in iris recognition on two known iris …

In this paper we propose an automatic method for computing the bin boundaries of complex
3D LAB histograms in order to extract optimal color feature vectors from digital images. The …

In the attempt to decrease the number of colon cancers deaths, colonoscopy is one of the
main screening tests recommended by the American and European guidelines, as well as …