شماره ركورد كنفرانس :
360
عنوان مقاله :
A histogram-based image processing method for visual and actual roughness prediction of sandpapers
عنوان به زبان ديگر :
A histogram-based image processing method for visual and actual roughness prediction of sandpapers
پديدآورندگان :
Ghodrati S نويسنده , Mohseni M نويسنده International Sturgeon Research Institute, P.O. Box 41635-3464, Rasht, Guilan, Iran-Department of Aquaculture/Feeds and Foods Nutrition Research Cent , Gorji Kandi Saeede نويسنده
كليدواژه :
Surface texture , image processing , Skewness , Visual perception
عنوان كنفرانس :
The 6 th International Color & Coating Congress
چكيده فارسي :
Surface texture recognition and classification is a challenging issue in both material science and human behavioral studies. In this study a feasible method based on image histogram analysis is introduced for surface roughness prediction. Our results show that image luminance histogram skewness, strongly correlates with both actual and visual surface roughness. Here, we employed a set of sandpapers with varying surface roughness as the stimuli set. To investigate the impact of image resolution on luminance histogram skewness, the images of the samples were captured by a digital scanner with nine different dpi values. The results show that as the image resolution increases luminance histogram skewness performance to predict visual and actual surface roughness increases as well.
شماره مدرك كنفرانس :
4184098
