Since color scanners are not colorimetric, the optimal mapping from scanned values to colorimetric values is inherently nonlinear. Characterization of the scanner requires approximating this nonlinear mapping from the space of scanned values to a device independant color space. Neural networks are particularly suited to this task. Performance using an arti cial neural network generated LUT is c...

OBJECTIVE To investigate the additional diagnostic value of color mapping of the hepatic arterial enhancement fraction (AEF) for detecting recurrent or residual hepatocellular carcinoma (HCC) in patients treated with transcatheter arterial chemoembolization (TACE). MATERIALS AND METHODS Seventy-six patients with 126 HCCs, all of whom had undergone previous TACE, and subsequently, underwent fo...

Color depth reduction is a common operation in the processing of image data, particularly for image file format conversion or for mapping images to display hardware. A problem of particular interest is the mapping of 24-bit deep RGB data to an 8-bit indexed color model i.e. how to choose 256 (or less) representative colors from a set of up to 2 (16.8 million) colors. Solutions to this problem r...

We propose a numerical method to determine a transformation of a color space into a hue linear color space with a maximum degree of perceptual uniformity. In a first step, a transformation of the initial color space into a nearly perceptually uniform space is computed using multigrid optimization. In a second step, a hue correction is applied to the resulting color space while preserving the pe...

This contribution presents an approach for object selection. It is based on the functional role of attention in its control of action, that is the selection in space and the selection at the object level to serve the extraction of further object related features. The selection is performed on topographic maps which describe by their local activation the existence of an object hypothesis and is ...

It is common to use domain specific terminology – attributes – to describe the visual appearance of objects. In order to scale the use of these describable visual attributes to a large number of categories, especially those not well studied by psychologists or linguists, it will be necessary to find alternative techniques for identifying attribute vocabularies and for learning to recognize attr...

It is well known that clothing fashion is a distinctive and often habitual trend in the style in which a person dresses. Clothing fashions are usually expressed with visual stimuli such as style, color, and texture. However, it is not clear which visual stimulus places higher/lower influence on the updating of clothing fashion. In this study, computer vision and machine learning techniques are ...

This paper presents some insights into perceptual metrics for texture pattern categorization. An increasing number of researchers in the field of visualization are trying to exploit texture patterns to overcome the innate limitations of three dimensional color spaces. However, a comprehensive understanding of the most important features by which people group textures is essential for effective ...