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Influence of Texture on Perceived Whiteness of Objects

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The influence of surface texture on perceived whiteness (PW) of objects is examined. Ten woolen fabrics with different textures, knitted from the same yarn, were obtained and assessed for PW by a panel of observers previously. In this work we incorporated three factors, namely, roughness, directionality and density to represent image features of the scanned samples and determine whether a relationship between these features and PW is present. A correlation coefficient was used to examine the individual contribution of each factor to PW. A regression method was then developed to establish a model that related PW to these parameters. Results show that roughness is adversely related to PW while directionality and density are directly related to PW. Additional work is required to determine the role of these parameters on PW for a range of white substrates with different texture features. However, initial results indicate that the incorporating such parameters to indices of whiteness could potentially improve the correlation between visual and instrumental assessments of white objects. Results could also be potentially extended to colored objects.
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Document Type: Research Article

Publication date: January 1, 2013

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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