Abstract
A method of evaluating human visual impressions of gray scale textures using morphological manipulation is proposed. To study the effects of textural features on human Kansei, we introduced a texture analysis method based on mathematical morphology. Kansei is a Japanese word for sensibility or emotion. Kansei engineering is an approach to connect human sensibility with engineering applications. The proposed method allows us to manipulate global and local properties of a texture separately. Variations of textures were generated by repetitively modifying arranged objects and configurations of the arrangements of original textures. The manipulated textures were presented to human respondents and the similarity of those textures based on human impressions was evaluated. Hierarchical clustering was applied to the similarity matrix generated from respondents’ observations. The results of the human evaluation were compared with that of the objective similarity evaluation adopting six global textural features. The global features such as density, regularity, and directionality of the point configurations were shown to have significant effects on human visual impressions and identification of textures. In the case of a texture without significant characteristics in its point configuration, local features such as grain shape have an effect on visual impressions.
Similar content being viewed by others
References
M. Petrou and P. Garicia-Sevilla: Image Processing: Deal with Texture (Wiley, Chichester, U.K., 2006).
T. Ojala and M. Pietikainen: in Texture Classification, ed. R. B. Fisher (CVonline—Compendium of Computer Vision, 2001) Available: http://www.dai.ed.ac.uk/CVonline.
J. M. H. du Buf: Signal Process. 21 (1990) 221.
T. Chang and C. C. J. Kuo: IEEE Trans. Image Process. 2 (1990) 429.
B. Julesz: IRE Trans. Inf. Theory 8 (1962) 84.
B. Julesz: Nature 290 (1981) 1619.
J. Malik and P. Perona: J. Opt. Soc. Am. A 7 (1990) 923.
A. Treisman and S. Gormican: Psychol. Rev. 95 (1988) 15.
B. J. Balas: Vision Res. 46 (2006) 299.
H. Tamura, S. Mori, and T. Yamawaki: IEEE Trans. Syst. Man Cybern. 8 (1978) 460.
M. Amadasun and R. King: IEEE Trans. Syst. Man Cybern. 19 (1989) 1264.
K. Fujii, S. Sugi, and Y. Ando: Psychol. Res. 67 (2003) 197.
A. R. Rao: CVGIP: Graphical Models Image Process. 5 (1993) 218.
A. R. Rao and G. L. Lohse: Vision Res. 36 (1996) 1649.
R. Y. Cho, V. Yang, and P. E. Hallett: Perception Psychophys. 62 (2000) 735.
A. Asano, T. Ohkubo, M. Muneyasu, and T. Hina-moto: Proc. 13th Scandinavian Conf. Image Analysis, 2003, p. 178.
Image Analysis and Mathematical Morphology, ed. J. Serra (Academic Press, London, 1988) Vol. 2, p. 217.
P. Soille: Morphological Image Analysis (Springer, Berlin, 2003) 2nd ed., p. 158.
H. J. A. M. Heijmans: Morphological Image Operators (Academic Press, San Diego, CA, 1994) p. 319.
C. Muraki, A. Asano, and T. Fujimoto: Proc. Int. Conf. Kansei Engineering and Emotion Research, 2007, F-8.
P. Brodatz: Textures: A Photographic Album for Artists and Designers (Dover, New York, 1966).
A. Fujiki, A. Asano, and M. Muneyasu: Proc. 2006 Int. Symp. Nonlinear Theory and its Applications, 2006, p. 711.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Li, L., Asano, A. & Asano, C.M. Statistical analysis of human visual impressions on morphological image manipulation of gray scale textures. OPT REV 17, 90–96 (2010). https://doi.org/10.1007/s10043-010-0016-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10043-010-0016-5