• Journal of the Korean Association of Geographic Information Studies
• /
• v.2 no.1
• /
• pp.32-44
• /
• 1999

Texture features can be incorporated in classification procedure to resolve class confusions. However, there have been few application-oriented studies made to evaluate the relative powers of texture analysis methods in a particular environment. This study evaluates the increases in the land-cover classification accuracy of the SPOT HRV multispectral data of Pusan Metropolitan area from texture processing. Twenty-four texture measures were derived from the SPOT HRV band 3 image. Each of these features were used in combination with the three spectral images in the classification of 10 land-cover classes. Supervised training and a Gaussian maximum likelihood classifier were used in the classification. It was found that while entropy produces the best empirical results in terms of the overall classification, other texture features can also largely improve the classification accuracies obtained by the use of the spectral images only. With the inclusion of texture, the classification for each category improves. Specially, urban built-up areas had much increase in accuracy. The results indicate that texture size 5 by 5 and 7 by 7 may be suitable at land cover classification of Pusan Metropolitan area.

• Science of Emotion and Sensibility
• /
• v.7 no.3
• /
• pp.15-25
• /
• 2004

The regression analysis and Adaptive -Network based Fuzzy-inference system (ANFIS) were applied to the explanation on human's visual texture of cotton fabrics with 7 mechanical properties. The ANFIS uses the structure with fuzzy membership function and neural network. The results obtained by the statistical analysis through the coefficient of correlation and regression analysis showed that subjective texture had a linear relationship with mechanical properties. But It had a relatively low coefficient of determination and was difficult that the statistical analysis explained other relationship with the exception of a lineality and interaction among mechanical properties. Comparing the statistical analysis, the ANFIS was an effective tool to explain human's non-linear perceptions and their interactions. But to apply ANFIS to human's perceptions more effectively, it is necessary to discriminate effective input variables through controlling the properties of samples.

• International Journal of Highway Engineering
• /
• v.17 no.1
• /
• pp.1-6
• /
• 2015

PURPOSES : Recently, attempts have been made to evaluate tire-pavement noise based on a measure of Mean Profile Depth (MPD). However, equivalent values of MPD appear to correspond to different levels of tire-pavement noise, which indicates that other factors such as texture wavelength need to be included to improve the accuracy of noise prediction. A single index to represent texture wavelength is proposed in this study. A consistent relationship between tire-pavement noise and texture wavelength on asphalt concrete pavement is observed. METHODS : Profile data and tire-pavement noise data were collected from a number of expressway sections in Korea. In addition, texture wavelength was defined by a Peak Number (PN), which was calculated using profile data. Statistical analysis was performed to find the relationship between the PN and tire-pavement noise. RESULTS : As a result of this study, a linear relationship between PN and tire-pavement noise is observed on asphalt concrete pavement. CONCLUSIONS : Tire-pavement noise on asphalt concrete pavement can be predicted from PN information.

• Preventive Nutrition and Food Science
• /
• v.9 no.2
• /
• pp.107-112
• /
• 2004

Texture hardening of Yackwa during storage is the major quality deterioration of Yackwa. In this study the effects of gellan gum and xanthan gum on texture hardening of Yackwa during storage were studied. Instrumental hardness and sensory evaluation results showed that addition of 0.05 % and 0.1 % of gellan gum or 0.1 % and 0.5 % of xanthan gum significantly decreased the hardness of Yackwa by 32 ∼ 63 % after 4 weeks of storage. Retardation of texture hardening was obtained even at the 0.05 % level of gellan gum, indicating that gellan gum was a more potent texture modifier for Yackwa than xanthan gum. Correlation analysis between moisture content and hardness of Yackwa showed that there was high correlation between moisture content and hardness of Yackwa after 4 weeks storage ($r^2$=-0.998), regardless of the initial moisture content. These results suggest that retardation of texture hardening during storage is primarily related to moisture retention of Yackwa during storage.

• Korean Journal of Human Ecology
• /
• v.13 no.4
• /
• pp.609-616
• /
• 2004

The purpose of this study is to examine the difference of judge's gender and age groups in preference of S/S men's suit fabrics, and to analyze the relationship between the preference and the texture by gender and age group. For this study, 60 types of S/S men's suit fabrics were used with variously-composed fibers, such as wool, wool-blended, and PET, thickness, and weight. To evaluate the texture and the preference subjectively, nine ranks' semantic differential scale questions of 22 texture adjectives and preference of 4 apparel items were developed, Through the factor analysis, texture adjectives were classified into 7 categories: "stiffness," "elasticity," "bulkiness," "coolness," "smoothness," and "drapability." Depending on gender and age groups of judges, statistically significant differences on texture factors and the preference were observed. Especially, men under 30 years of age showed a higher grade of stiffness and a lower preference on pants than other groups. The relationship between the texture and the preference was different by gender and age group: Women evaluated a preference of men's suit fabrics in relation to stiffness and smoothness, whereas men did so in relation to stiffness, smoothness, coolness, and drapability. A young age group put more importance on drapability for preference of men's suit fabric.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.17 no.3
• /
• pp.428-435
• /
• 1993

The purpose of this study was to investigate the difference of the visual evaluation about clothing texture, the state of wearing and the method of presentation. The data from observation were analyzed by factor analysis, t-test, ANOVA, Scheffe test and MCA. The results of this study were as follows ; 1. 17 pairs of discriptors used for the visual evaluation of clothing stimuli were found to include four factor dimensions(total variance 65.6%) ; Attention, Appearance, Texture, Maturity. 2. For the image of clothing texture, there were significant differences in the attention and texture. 3. For the image of the state of wearing, there were significant differences in the attention and appearance. 4. For the image of the method of presentation, there were significant differences in the clothing texture and the state of wearing. 5. According to clothing texture, the state of wearing and the method of presentation, the interaction effect was significant in the attention and appearance.

• Asian-Australasian Journal of Animal Sciences
• /
• v.29 no.7
• /
• pp.1029-1036
• /
• 2016

This study investigated the degree to which instrumental measurements explain the variation in pork loin tenderness as assessed by the sensory evaluation of trained panelists. Warner-Bratzler shear force (WBS) had a significant relationship with the sensory tenderness variables, such as softness, initial tenderness, chewiness, and rate of breakdown. In a regression analysis, WBS could account variations in these sensory variables, though only to a limited proportion of variation. On the other hand, three parameters from texture profile analysis (TPA)-hardness, gumminess, and chewiness-were significantly correlated with all sensory evaluation variables. In particular, from the result of stepwise regression analysis, TPA hardness alone explained over 15% of variation in all sensory evaluation variables, with the exception of perceptible residue. Based on these results, TPA analysis was found to be better than WBS measurement, with the TPA parameter hardness likely to prove particularly useful, in terms of predicting pork loin tenderness as rated by trained panelists. However, sensory evaluation should be conducted to investigate practical pork tenderness perceived by consumer, because both instrumental measurements could explain only a small portion (less than 20%) of the variability in sensory evaluation.

• Korean journal of food and cookery science
• /
• v.12 no.2
• /
• pp.207-213
• /
• 1996

Effects of replacement of corn starch with Amylomaize Vll starch and addition of enzyme-resistant starch on texture characteristics of com bread (CON) were investigated. Amylomaize-substituted corn bread (AMZ) was made by replacing corn starch with Amylomaize Vll starch. 15% (RSl5) and 30％ (RS30) of butter, was replaced with enzyme-resistant starch (RS) from Amylomaife Vll starch, respectively. Textu,e describing terms were classified according to their physical properties. Result of sensory evaluation characteristics showed that the size of air cells increased as butter replacement level decreased and that hardness increased but springiness decreased as com starch was replaced with Amylomaize Vll starch. The results of Texture Profile Analysis with deformation of 30% and 50% showed that hardness inclosed but cohesiveness decreased as cooling time increased.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.61 no.1
• /
• pp.1-8
• /
• 2016

The objective of this study was to evaluate quality properties, including amylopectin content, and texture analysis of brown rice and germinated brown rice cultivars in Korea for rice processing products. The amylopectin short chain content of germinated brown rice was significantly higher than that of brown rice. Texture analysis test showed that germinated brown rice Jinbo had the lowest hardness and toughness as well as and highest stickiness and adhesiveness. The correlation between degree of polymerization of amylopectin and texture analysis was also evaluated. In particular, germinated brown rice, short-chain amylopectin showed a negative correlation with hardness and toughness, whereas long-chain amylopectin showed a positive correlation with hardness, toughness, and adhesiveness. These results indicate that there is a relationship between degree of polymerization and texture analysis.

• Journal of the Institute of Convergence Signal Processing
• /
• v.11 no.3
• /
• pp.215-220
• /
• 2010

In this paper, we propose a new texture-based page segmentation and classification method in which table region, background region, image region and text region in a given document image are automatically identified. The proposed method for document images consists of two stages, document segmentation and contents classification. In the first stage, we segment the document image, and then, we classify contents of document in the second stage. The proposed classification method is based on a texture analysis. Each contents in the document are considered as regions with different textures. Thus the problem of classification contents of document can be posed as a texture segmentation and analysis problem. Two-dimensional Gabor filters are used to extract texture features for each of these regions. Our method does not assume any a priori knowledge about content or language of the document. As we can see experiment results, our method gives good performance in document segmentation and contents classification. The proposed system is expected to apply such as multimedia data searching, real-time image processing.