Texture Measuring by Means of Perceptually-Based Fineness Functions

Authors:
J. Chamorro-Martínez;P. Martínez-Jiménez
Affiliations:
Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain 18071;Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain 18071
Venue:
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Year:
2009

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Abstract

Although texture is a widely analyzed property in computer vision, models which relate this feature with human perception are needed. In this paper, a model that associates computational fineness measures with the human perception of this type of texture property is proposed. The fineness perception is collected from human subjects, performing an aggregation of their assessments. Considering a wide variety of measures, a coarseness-fineness function relating these features with the human assesments is obtained as the function which provides the best fit of the collected data.