A visual test was conducted to find color ranges in which a replacement stone is aesthetically compatible. This study describes a color calibrated image chain processing, from acquisition to display, that was used to simulate stone replacements on a realistic image of monument. Then, a visual test protocol was designed to locate color thresholds that separate a perceptible from an imperceptible replaced stone. A case study has been performed on the Aigues‐Mortes medieval city walls (South of France): Fifteen naive observers rated 2160 proposals of simulated stone replacements. The observer's answers (acceptance or rejection) were used to compute color thresholds along three colorimetric axes in a physiological and device‐independent color space (LMS). The results show that color thresholds are not centered on the mean color of the monument. Furthermore, lighter colors are not accepted, though these appear in the original wall. These color thresholds constitute a set of quantitative criteria for aesthetically compatible stones. © 2012 Wiley Periodicals, Inc. Col Res Appl, 38, 356–363, 2013

To the various criteria such as durability and comfort, always taken into account for the purchase of a vehicle, nowadays criteria of sensory size like smell and touch are to be added. We carried out this study on evaluation of touch and more particularly on touch of plastics surfaces as these materials are largely used in automobile cockpits (handles of door, seats, dashboards). The touch of these materials must first be evaluated in order to be controlled. It is the role of the panels of skilled experts, who use various tactile descriptors to characterize surfaces according to human sensitivity. The objective of this work is to undergo a statistical analysis of tactile data on the basis of precise criteria (repeatability, consistency, precision of analysis) in order to achieve a characteristic model of a given descriptor, selected for the tactile sensory analysis. In parallel, with the analysis of the panel data, we tried to characterize the surface of samples by instrumental physical measurements. A second part of this work will lead us, in the framework of the study of roughness, to try to establish a correlation between these measurements and the data obtained according to the protocol of the raspy descriptor of sensory analysis.