In the current study, we use an experimental approach to investigate the single and combined effects of color and surface roughness on the assessment of material warmth.
Thus, in addition to visual assessment, roughness and gloss measurements were carried out, the ratio between specular and diffusely reflected light was determined, and scanning electron microscopy (SEM) was used, in order to find an instrumental method to reduce the subjectivity of visual assessment.
As previously considered [23], only the quantitative assessment of roughness parameters allows direct comparisons among surface treatments, without the subjective assessment bias of the SEM techniques.
The most sensitive and useful surface roughness parameter for the assessment of fatigue growth in low-and high-cycle fatigue is identified, and it is shown that results can be utilized to detect the onset of fatigue crack nucleation.
Looking at the future, it can be expected that accurate assessment of roughness will become a standard requirement, as the Harmonoise method, which is intended to become the standard noise prediction method in Europe, uses the roughness spectrum as main input data for rolling noise.
There were also significantly higher percentages of patients achieving clinical improvement in lentigines, irregular dyspigmentation, apparent pore size, elastosis, tactile roughness and overall integrated assessment.
Outcome measures included global response to treatment and changes in lentigines, mottled hyperpigmentation, irregular dyspigmentation, melasma, fine wrinkling, coarse wrinkling, elastosis, tactile roughness and overall integrated assessment.
Dong et al. [16] propose a novel roughness-based perceptual quality assessment method.
Roughness data were assessed using two methods.
