SENSORY EVALUATION AND VISUAL IMFORMATION OF COLOR TEXTURE AND FABRIC APPEARANCE USING IMAGE ANALYSIS

使用图像分析对颜色纹理和织物外观进行感官评估和视觉信息

基本信息

批准号：
16500488
负责人：
MORI Toshio
金额：
$ 1.78万
依托单位：
Gifu Women's University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2004
资助国家：
日本
起止时间：
2004 至 2007
项目状态：
已结题

项目摘要

Gray scale image analysis is applied for the measurement of visual features of plain knitted fabrics with different kinds of stitch densities, crease appearance of regularly or irregularly folded cotton cloth, and visual relaxation behavior of randomly wrinkled cloths including wrinkles like ripple and irregularly folded creases. Mean of the gray level for the digital image, the angular second moment, correlation, contrast and entropy which were extracted from the gray level co-occurrence matrix, and the fractal dimension are measured as visual feature parameters. These image information parameters is found to be useful for characterizing the beauty of plain knitted fabrics, the visual features of creased cloths and the visual relaxation behavior of wrinkle recovery.Color Image analysis is applied to the characterization of color contrast and colored shadow phenomenon of polka-dotted patterns. Colors in an image are expressed in the NTSC_RGB color system. RGB images are converted to L* … More C*H* images. The co-occurrence contrast (CON) is calculated for L*, C* and H* images. CON is found to be a good parameter to describe the contrast effect and colored shadow of polka-dotted patterns. Color image analysis is used to evaluate the warmth and coolness of multicolored patterns of cloth from a whole color impression of multicolored patterns by applying the logic of juxtaposition color mixture. It is concluded that warm, neutral and cool color images of multicolored patterns of cloth can be evaluated by hue angles. Color feature analysis by using RGB color space is applied to the characterization of color textures of many fabrics. The relationship between their sensory evaluation values and the visual feature parameters is examined by the factor analysis. In color image analysis of color fading for color patterned fabrics, L*, a* and b* are computed for each pixel in the image using the CIELAB formula. Mean values of L*, a* and b* for all pixels in the image are obtained as AVE-L*, AVE-a* and AVE-b*, respectively. There is a good agreement between L*, a* and b* by spectrometer measurements and AVE-L*, AVE-a* and AVE-b* by image analysis for solid color. Less

灰度的进化用于具有不同种类的普通法国的特征，这些特征的外观是定期折叠的棉布，以及随机的皱纹布的视觉放松行为，包括皱纹，喜欢lipl lipl e lipl e lipl e lipl e lipl e and nirgander折叠。数字图像，角度的第二刻，相关率矩阵和分形维度作为视觉特征参数测量。 E恢复的放松行为。彩色图像分析应用于颜色对比度，并在NTSC_RGB颜色系统中表达了彩色的圆形图像。成为描述效果的良好参数和彩色的彩色图案。 INGB颜色空间应用于许多织物的颜色纹理的表征。。通过图像分析固体颜色，AVE-L*，AVE-A*和AVE-B*。