Article | 11th QMOD Conference. Quality Management and Organizational Development Attaining Sustainability From Organizational Excellence to SustainAble Excellence; 20-22 August; 2008 in Helsingborg; Sweden | Exploring Texture Pattern Features and Relations to Kansei with 2D FFT: Wallpapers and Dashboard Leather Grain Patterns

Title:
Exploring Texture Pattern Features and Relations to Kansei with 2D FFT: Wallpapers and Dashboard Leather Grain Patterns
Author:
Mamoru Kikuta: Calsonic Kansei Corp., Japan Shigekazu Ishihara: School of Psychological Science, Hiroshima International University, Japan Tetsuo Yanese: School of Psychological Science, Hiroshima International University, Japan Keiko Ishihara: School of Psychological Science, Hiroshima International University, Japan
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Year:
2008
Conference:
11th QMOD Conference. Quality Management and Organizational Development Attaining Sustainability From Organizational Excellence to SustainAble Excellence; 20-22 August; 2008 in Helsingborg; Sweden
Issue:
033
Article no.:
044
No. of pages:
10
Publication type:
Abstract
Published:
2008-12-09
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


Purpose: Ablity of texture pattern recognition of human is very high and precise. Although details of texture significantly affect to Kansei; grasping texture features in quantitative methods have been difficult. We have analyzed wallpaper and car dashboard leather grain patterns with 2-dimensional FFT (Fast Fourier Transfer). Relations between spectrum features and Kansei evaluation are also analyzed.

Methodology/Approach: On Wallpaper study; sample rooms with various wall paper were made with architectural 3-dimensional CAD software. Twenty- five different wallpaper samples were used. Fifty-four Kansei word pairs were used as 5-point SD questionnaire. Sample pictures were presented with color calibrated display. With PCA; we have analyzed Kansei space. The 1st principal component was named as "Activity". The 2nd pc was "refined-ness". Then we have analyzed texture of 3 samples with 2D FFT; those have almost same color but differs on texture. On car dashboard leather grain patterns; 24 samples of different pattern those have same color were evaluated. Using close-up camera picture; leather grain patterns were analyzed with 2D FFT.

Findings: On wallpaper study; the samples 20;17 and 11 have almost same grayish beige color. On sample 20; 2D FFT result clearly shows the dominant pattern of check and its higher harmonic components. In sample 17; the result suggest the oblique components; In sample 11; there are wide renge surge of oblique components suggests various frequencies of triangular texture. Even within the triangles; as lower frequency components increase; "activity" decreases and tends toward "heavy" Kansei. On leather grain pattern study; variations of grain size; variations of grain shape; line directions and intensity were captured from 2D spectrum. Critical frequency features for Kansei were also found.

Originality/Value of paper: Modern pattern analytic techniques have been not utilized for Kansei engineering. We presented very useful and promising technique for quantificate various detailed features.

Keywords: Texture analysis; 2-dimensional FFT; multivariate analysis

11th QMOD Conference. Quality Management and Organizational Development Attaining Sustainability From Organizational Excellence to SustainAble Excellence; 20-22 August; 2008 in Helsingborg; Sweden

Author:
Mamoru Kikuta, Shigekazu Ishihara, Tetsuo Yanese, Keiko Ishihara
Title:
Exploring Texture Pattern Features and Relations to Kansei with 2D FFT: Wallpapers and Dashboard Leather Grain Patterns
References:

1.Sonka; M.; Hlavac; V. & Boyle; R.; Image Processing; Analysis and Machine Vision; Champann & Hall; 1993.


2. Prof. Dougherty Physics page; Lafayette College; http://ww2.lafayette.edu/~doughera/index.html

11th QMOD Conference. Quality Management and Organizational Development Attaining Sustainability From Organizational Excellence to SustainAble Excellence; 20-22 August; 2008 in Helsingborg; Sweden

Author:
Mamoru Kikuta, Shigekazu Ishihara, Tetsuo Yanese, Keiko Ishihara
Title:
Exploring Texture Pattern Features and Relations to Kansei with 2D FFT: Wallpapers and Dashboard Leather Grain Patterns
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