• Journal of Distribution Science
• /
• v.15 no.3
• /
• pp.39-47
• /
• 2017

Purpose - The purpose of this study is to measure the effect of brand awareness by color marketing to purchase and revisit intentions in Traditional Markets. Research design, data, and methodology - For this study, 5 point Likert-scale was used based on previous research. Used SPSS ver.22, factor analysis and Cronbach's alpha, regression and correlation were tested. 254 samples were used for the analysis. Results - The three attributes of color marketing(symbolism, identifiability, association) exerted significant effects on brand awareness of traditional marketing explained 38.7% of the variance. Thus, , , and were supported. However, was not supported. Conclusions - Colors play important roles in establishing new images in consumers' minds. The visual sense affects emotions and attitudes and most of the visual sense is affected by colors. Colors that we see move people's heart and induce atmospheres thereby greatly affecting humans' physical and mental activities. To increase traditional market brand awareness, it is necessary for traditional markets to display a level of attractiveness through the use of colors and visuals. So to use color marketing in traditional market is very important for brand awareness which can cause purchase and traditional market revisit intension.

• Korean Journal of Human Ecology
• /
• v.17 no.5
• /
• pp.1015-1026
• /
• 2008

This study explores the attributes of the color cosmetic products and prices, and their effects on the brand trust. In doing so, our sample population has been segmented according to their lifestyle on color cosmetic to understand the group differences. Based on the previous researches, we have chosen four important characteristics of the customer's lifestyle. The number of iteration on factor analysis revealed that our sample population can be formed into three different groups. The significant group differences resulted on the following study variables; the product functionality, the product fragrance/color, the product vessel design, the price value, the price information, the price rationality. Also, from the product aspect, the product functionality, the product fragrance/color, the product vessel design, explained the significant portion of the Y variance. While, on the aspect of price, the value, the rationality, and information in order, significantly contributed on the brand trust.

• International Journal of Oral Biology
• /
• v.41 no.4
• /
• pp.243-251
• /
• 2016

This study was undertaken to achieve a high bleaching efficacy with plasma, through longer application and reparative bleaching processes, by different shade evaluation methods. Extracted human teeth were divided into 6 groups (n=10). All teeth were treated in pairs. Low concentration of 15% carbamide peroxide (CP) was applied, with and without plasma, for 10, 20, and 30-min tooth bleaching, respectively. The bleaching procedure was repeated once daily for four days. The teeth were maintained in a moist environment provided by artificial saliva. The Vitapan Classical shade guide and Commission Internationale de L'Eclairage (CIELAB) color system were collectively used to measure the bleaching efficacy. Color evaluation was statistically analyzed using Student t-test and one-way analysis of variance (ANOVA) complemented by Tukey's test. Combining the plasma with 15% CP showed significantly greater color changes compared to bleaching without plasma (p<0.05). A high bleaching efficacy with plasma is proportional to the repetitive application and the treatment time. A 30-min application with plasma provided the best bleaching. Repetitive bleaching showed lower probability of color relapse of the bleached tooth. The color change by shade guide correlated with the changes in CIELAB color system. A value of 1 color change units (CCU) conversion factor for overall color change (${\Delta}E$) values comparisons was 3.724 values. The two measuring methods provide a more accurate correspondence of color change. The repetitive and longer application for tooth bleaching, combined with plasma, has a strong bleaching effect and produces whiter teeth.

• Journal of Distribution Science
• /
• v.14 no.10
• /
• pp.117-126
• /
• 2016

Purpose - Color is perceived to have an effect on humans' cognition and behavior because of its association with specific concepts. Since there are few studies linking color and price presentation, we investigated a constrained condition of consumers' regulatory focus and involvement. Research design, data, and methodology - We performed a 2 (color: red vs. black) × 2 (regulatory focus: prevention vs. promotion) × 2 (involvement: high vs. low) test of our hypothesis. The target product was a portable data storage device (USB) and data from 165 respondents were analyzed. Each condition had two stages. In the first, product information and price were presented. After reviewing the product information, respondents evaluated price attractiveness. In the second stage, respondents filled out regulatory focus and involvement questionnaires. The main variables were color, regulatory focus, and involvement. Therefore, we ran a three-way ANOVA (Analysis of Variance) to test our hypothesis. Results - When the price was red (vs. black), consumers perceived the red price as more attractive than the black price. However, this effect varied by situation. Specifically, in the low involvement condition among prevention-focused consumers, when the price was in red, price attractiveness was higher than when the price was in black. However, for promotion-focused consumers, there was no difference in the price color effect. In the high involvement condition, promotion-focused consumers showed stronger price attractiveness for the red price than the black price. However, the effect of price color diminished for prevention-focused consumers. That is, prevention-focused consumers did not reveal a different price perception between red versus black in the high involvement condition. Conclusions - This research contributes by academically linking the effects of color to price attractiveness, and focusing on the interaction of regulatory focus and involvement. When involvement is low, the effect of red disappeared for promotion-focused consumers, whereas the same happened for prevention-focused consumers under the condition of high involvement.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.42 no.5 s.305
• /
• pp.103-114
• /
• 2005

This paper presents a content-based image retrieval (CBIR) method using the combination of color and texture features. As a color feature, a color autocorrelogram is chosen which is extracted from the hue and saturation components of a color image. As a texture feature, BDIP(block difference of inverse probabilities) and BVLC(block variation of local correlation coefficients) are chosen which are extracted from the value component. When the features are extracted, the color autocorrelogram and the BVLC are simplified in consideration of their calculation complexity. After the feature extraction, vector components of these features are efficiently quantized in consideration of their storage space. Experiments for Corel and VisTex DBs show that the proposed retrieval method yields 9.5% maximum precision gain over the method using only the color autucorrelogram and 4.0% over the BDIP-BVLC. Also, the proposed method yields 12.6%, 14.6%, and 27.9% maximum precision gains over the methods using wavelet moments, CSD, and color histogram, respectively.

• Restorative Dentistry and Endodontics
• /
• v.46 no.2
• /
• pp.23.1-23.11
• /
• 2021

Objectives: This study assessed the reliability of digital color measurements using images of resin composite specimens captured with a cellphone. Materials and Methods: The reference color of cylindrical specimens built-up with the use of resin composite (shades A1, A2, A3, and A4) was measured with a portable spectrophotometer (CIELab). Images of the specimens were obtained individually or pairwise (compared shades in the same photograph) under standardized parameters. The color of the specimens was measured in the images using RGB system and converted to CIELab system using image processing software. Whiteness index (WI_D) and color differences (ΔE₀₀) were calculated for each color measurement method. For the cellphone, the ΔE₀₀ was calculated between the pairs of shades in separate images and in the same image. Data were analyzed using 2-way repeated-measures analysis of variance (α = 0.05). Linear regression models were used to predict the reference ΔE₀₀ values of those calculated using color measured in the images. Results: Images captured with the cellphone resulted in different WI_D values from the spectrophotometer only for shades A3 and A4. No difference to the reference ΔE₀₀ was observed when individual images were used. In general, a similar ranking of ΔE₀₀ among resin composite shades was observed for all methods. Stronger correlation coefficients with the reference ΔE₀₀ were observed using individual than pairwise images. Conclusions: This study showed that the use of cellphone images to measure the color difference seems to be a feasible alternative providing outcomes similar to those obtained with the spectrophotometer.

• Journal of Korean Dental Science
• /
• v.16 no.2
• /
• pp.192-203
• /
• 2023

Purpose: This study is to investigate the distribution of natural tooth shades in the Korean elderly population to quantify the correlation and changes of tooth color with age and gender. In addition, the possible effects of habits on tooth color were assessed. Materials and Methods: The tooth color of one of the maxillary central incisors of 200 Korean individuals aged 50 to 89 years, males and female, was measured using the portable intraoral spectrophotometer (VITA Easyshade V). CIELab and CIELCh color coordinates were recorded. We conducted the survey about the tobacco smoking, chronic disease, medication, eating habits, oral health behaviors and satisfaction with tooth color. Experimental data were statistically analyzed by using the t-test (P<0.05), two-way analysis of variance and Pearson's correlation test. Result: The most frequent color in the Korean elderly population was 3M3 & A3.5 shade. L^* and h^* values decreased, whereas C^*, a^* and b^* values increased progressively with age. There was a significant interaction between age and color coordinates for b^* values (r=0.245, P<0.05). Males generally have significantly higher C^*, a^*, b^* values and lower L^*, h^* value compared to females. Individuals who consumed alcohol had a higher L^* value (P<0.05). Conclusion: Within the limitation of this study, the central incisors were getting darker, more reddish, and yellowish with age. Information on the chromatic range of natural teeth by age and gender could help to select colors for esthetic dental restorations.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.44 no.1
• /
• pp.10-16
• /
• 2007

In this paper, we propose a technique for retrieving images using spatial color correlation and texture characteristics based on local fourier transform. In order to retrieve images, two new descriptors are proposed. One is a color descriptor which represents spatial color correlation. The other is a descriptor combining the proposed color descriptor with texture descriptor. Since most of existing color descriptors including color correlogram which represent spatial color correlation considered just color distribution between neighborhood pixels, the structural information of neighborhood pixels is not considered. Therefore, a novel color descriptor which simultaneously represents spatial color distribution and structural information is proposed. The proposed color descriptor represents color distribution of Min-Max color pairs calculating color distance between center pixel and neighborhood pixels in a block with 3x3 size. Also, the structural information which indicates directional difference between minimum color and maximum color is simultaneously considered. Then new color descriptor(min-max color correlation descriptor, MMCCD) containing mean and variance values of each directional difference is generated. While the proposed color descriptor includes by far smaller feature vector over color correlogram, the proposed color descriptor improves 2.5 % ${\sim}$ 13.21% precision rate, compared with color correlogram. In addition, we propose a another descriptor which combines the proposed color descriptor and texture characteristics based on local fourier transform. The combined method reduces size of feature vector as well as shows improved results over existing methods.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.29 no.9C
• /
• pp.1258-1268
• /
• 2004

We propose a new fast, algorithm which is used for detecting frontal face in the frequency domain based on human skin-color using OCT coefficient of dynamic image compression and skin color information. The region where each pixel has a value of skin-color were extracted from U and V value based on DCT coefficient obtained in the process of Image compression using skin-color map in the Y, U, V color space A morphological filter and labeling method are used to eliminate noise in the resulting image We propose the algorithm to detect fastly human face that estimate the directional feature and variance of luminance block of human skin-color Then Extraction of face was completed adaptively on both background have the object analogous to skin-color and background is simple in the proposed algorithm The performance of face detection algorithm is illustrated by some simulation results earned out on various races We confined that a success rate of 94 % was achieved from the experimental results.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.43 no.2 s.308
• /
• pp.63-71
• /
• 2006

Denoising and reconstruction of color images are extensively studied in the field of computer vision and image processing. Especially, denoising and reconstruction of color face images are more difficult than those of natural images because of the structural characteristics of human faces as well as the subtleties of color interactions. In this paper, we propose a denoising method based on PCA reconstruction for removing complex color noise on human faces, which is not easy to remove by using vectorial color filters. The proposed method is composed of the following five steps: training of canonical eigenface space using PCA, automatic extraction of facial features using active appearance model, relishing of reconstructed color image using bilateral filter, extraction of noise regions using the variance of training data, and reconstruction using partial information of input images (except the noise regions) and blending of the reconstructed image with the original image. Experimental results show that the proposed denoising method maintains the structural characteristics of input faces, while efficiently removing complex color noise.