• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.12 no.1
• /
• pp.13-21
• /
• 2019

The content based on image retrieval makes use of features of information within image such as color, texture and share for Retrieval data. we present a novel approach for improving retrieval accuracy based on DCT Filter-Bank. First, we perform DCT on a given image, and generate a Filter-Bank using the DCT coefficients for each color channel. In this step, DC and the limited number of AC coefficients are used. Next, a feature vector is obtained from the histogram of the quantized DC coefficients. Then, AC coefficients in the Filter-Bank are separated into three main groups indicating horizontal, vertical, and diagonal edge directions, respectively, according to their spatial-frequency properties. Each directional group creates its histogram after employing Otsu binarization technique. Finally, we project each histogram on the horizontal and vertical axes, and generate a feature vector for each group. The computed DC and AC feature vectors bins are concatenated, and it is used in the similarity checking procedure. We experimented using 1,000 databases, and as a result, this approach outperformed the old retrieval method which used color information.

• Journal of Digital Convergence
• /
• v.19 no.2
• /
• pp.463-469
• /
• 2021

The aesthetic value of Korea is rising in various fields through the use of designs using Korean materials. Korean materials contain oriental ideas and are widely used as materials for design development due to the uniqueness of its form. The purpose of this study is to present basic data of nail art design differentiated nail art designs required at the nail art industry site by producing nail works using Korean materials. Accordingly, We proceeded on the basis of theoretical consideration and empirical research for the development of nail art design, a field of beauty in this study, and made a Korean and unique nail art design work using the Four Gracious Plants. For this purpose, we considered theoretically the characteristics of nail art and the Gracious Plants, and made nail art design works derived from empirical research. The work was analyzed by color, texture, and design elements of form. Therefore, the mixed method of Nail Art and the Gracious Plants, which is the core of this study, is considered to be meaningful in laying the foundation for creative nail art design development.

• Journal of Broadcast Engineering
• /
• v.19 no.3
• /
• pp.396-404
• /
• 2014

The field of searching clothing, which is very difficult due to the nature of the informal sector, has been in an effort to reduce the recognition error and computational complexity. However, there is no concrete examples of the whole progress of learning and recognizing for cloth, and the related technologies are still showing many limitations. In this paper, the whole process including identifying both the person and cloth in an image and analyzing both its color and texture pattern is specifically shown for classification. Especially, deformable search descriptor, LBPROT_35 is proposed for identifying the pattern of clothing. The proposed method is scale and rotation invariant, so we can obtain even higher detection rate even though the scale and angle of the image changes. In addition, the color classifier with the color space quantization is proposed not to loose color similarity. In simulation, we build database by training a total of 810 images from the clothing images on the internet, and test some of them. As a result, the proposed method shows a good performance as it has 94.4% matching rate while the former Dense-SIFT method has 63.9%.

• Archives of design research
• /
• v.14 no.2
• /
• pp.67-76
• /
• 2001

Children's Picture Book is the literature with which children face for the first time as a form of close harmony between text and picture. The picture book shows what is happening and also what may happen mn the children's surroundings and takes great Influence on their creativity, thinking ability, emotion, and Intellectual ability by delivering affluent story through the pictures. The color expressed in the children's picture book is as much important as other formative elements such as shape and texture, and the expression of color on the basis of color emotion is much more Important In that It appeals to the children's feeling. The color which is expressed through the illustration of children's picture book conveys distinctly the motion and feeling of characters who are expressed un the picture book as well as distinction of theme and background and expresses persuasively the whole process of plot and atmosphere so that it might convey various emotions such as delight, sorrow, pleasure, wonder, and fear to children. This thesis alms at analyzing various effects of color contrast, process of color, hue variation, and use of color according to the atmosphere of each cut and the process of plot by selecting the children's picture books which were published abroad and home on the basis of color concept, emotion, and image association which children feel In order to Investigate and analyze the symbolism of color and emotional effect expressed through the illustration of children's picture book, and presenting a direction of color use to produce high-level children's picture book with illustrators individuality and artistry.

• Journal of the Korea Convergence Society
• /
• v.10 no.5
• /
• pp.1-8
• /
• 2019

In this paper, we propose an improved facial skin color extraction method to solve the problem that facial surface is lost due to shadow or illumination in skin color extraction process and skin color extraction is not possible. In the conventional HSV method, when facial surface is brightly illuminated by light, the skin color component is lost in the skin color extraction process, so that a loss area appears on the face surface. In order to solve these problems, we extract the skin color, determine the elements in the H channel value range of the skin color in the HSV color space among the lost skin elements, and combine the coordinates of the lost part with the coordinates of the original image, To minimize the number of In the face detection process, the face was detected using the LBP Cascade Classifier, which represents texture feature information in the extracted skin color image. Experimental results show that the proposed method improves the detection rate and accuracy by 5.8% and 9.6%, respectively, compared with conventional RGB and HSV skin color extraction and face detection using the LBP cascade classifier method.

• Journal of Applied Biological Chemistry
• /
• v.61 no.2
• /
• pp.157-164
• /
• 2018

The purpose of this study was to develop a kelp (Laminaria japonica) product with optimal sensory and nutritional properties for eating as a snack by investigating its physicochemical properties and conducting sensory evaluation. A preliminary study using tripolypolyphosphate solution found that it was good for removing the fishy smell and for making it soft. We soaked the kelp in 0.3-0.4% sodium tripolyphosphate buffer and tested with or without baking. In searching for the optimal polyphosphate dilution concentration, soaking in 0.3-0.4% sodium tripolyphosphate resulted in the best texture and flavor. As kelp separates into thick or thin samples, thick kelp was best when soaked in 0.4% sodium tripolyphosphate buffer and thin soaked in 0.3%. The kelp snack made from the thick one (over 221 mm thickness) was better than the thin one. Baking improved the moisture, texture and feel of the kelp snack. Tripolyphosphate treatment affected protein contents and texture softening. The differences by baking and tripolyphosphate treatment were shown with electromicroscopic image. Kelp snacks with added sweet and hot taste were preferred to sour taste. In conclusion, in making kelp snacks, it is advisable to use a thick kelp, 0.3-0.4% sodium tripolyphosphate, and baking treatment for better texture and feel. This kelp snack has low fishy smell, better taste and soft feel. Further research is needed to support sea food's importance, and usefulness of the kelp snack to help prevent goiter in inland province citizens.

• Journal of Digital Convergence
• /
• v.15 no.9
• /
• pp.533-541
• /
• 2017

In the rapidly changing 21st century, image management has become more important. Under these circumstances, as a lot of hair colors and beaching agents are used to create diverse hair colors, hair damage resulting from frequent chemical hair coloring has been inevitable. This study investigated how to reduce morphological changes in hair and hair damage after dividing hair into healthy hair('Group A') and damaged hair('Group B'), using the following bleaching agents: basic bleaching agent(a), beaching agent diluted with water(b), oil ingredient-added bleaching agent(c), water-shampoo mixed bleaching agent(d). The results found that even though hair damage can be prevented by a bleaching agent diluted with a mixture of diverse additives, there were better effects on hair texture in both 'Group A(4.83)' and 'Group B(4.41)' at a sensory test when hair was bleached with an addition of Camellia oil, according to blinded experiment, in particular. As a result, hair damage could be reduced. Therefore, this study expects that hair bleaching with an addition of Camellia oil to the mixture of a bleaching agent would bring the development of diverse new materials which can minimize hair damage as well as regulate hair brightness and make a contribution to the development of cosmetology market.

• Korea Science and Art Forum
• /
• v.37 no.2
• /
• pp.275-292
• /
• 2019

This study was initiated with the attention of demanding new and diverse approaches, we're talking familiar with imitations in the design process like a way to draw a image. So I studied a convergence of humanities and visual arts with the understanding and conceptual approach of the formless. The purpose of this study is to develop formless languages and to organize practical courses which are to enable deeper research and design expression on theoretical approaches and explanations of outcomes required before and after the process when we practice in connection with the formless. The method of this study is to draw detailed items from selected words through advanced researches, work and author researches and practice teaching. The results of the study I proposed the formless language that is related to the horizontality in spatial positioning system, and pulse in the separation of space and time, and entropy in structural orders of the system, and base materialism in the limitation of matter as the operating mechanism and parent item of formless. And those elements are related with shape, size, shading, color, texture, space, structure as visual elements of formative elements and those have various adjectival meanings as the subordinate concept. So I presented an education materials of basic design which is to enable understanding and expressing the formless language in the overall process of formless visual art(theoretical approach, practice course, presentation, etc.). Based on these study results, I hope that this educational materials will be used as educational contents that makes them express and understand different new beauties, and a role that reveals social identity, and a reference for research on a formless visual arts.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.9
• /
• pp.412-419
• /
• 2019

Negative space in the discipline of art defines the space around and between the subject of an image. The use of negative space is an element of artistic composition, since it is occasionally used to artistic effect as the "real" subject of an image. In painting, it is a technique that negatively touches the background of an object to be expressed, so that it gives a feeling of unique texture and silhouette by touching unnecessary parts while leaving necessary parts. As in art, negative space in a design can also be useful to identify an image of infeasible design ranges with a straightforward view. Similarity between two disciplines leads to the introduction of the negative space concept for design space exploration. A rough design space exploration using statistics and visual analytics may support more efficient decision-making, and can provide meaningful insights into the direction of early-phase system design. For this, the approach guarantees dynamic interactions between visualized information and human cognitive systems. Visual analytics is useful to summarize complex and large-scale data. It is useful for identifying feasible design spaces, as well as for avoiding infeasible spaces or highly risky spaces. This paper investigates the possible use of the negative space concept by using an application example.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.27 no.1
• /
• pp.115-127
• /
• 2024

This research aimed to construct models with various structures based on the Transformer module and to perform land cover classification, thereby examining the applicability of the Transformer module. For the classification of land cover, the Unet model, which has a CNN structure, was selected as the base model, and a total of four deep learning models were constructed by combining both the encoder and decoder parts with the Transformer module. During the training process of the deep learning models, the training was repeated 10 times under the same conditions to evaluate the generalization performance. The evaluation of the classification accuracy of the deep learning models showed that the Model D, which utilized the Transformer module in both the encoder and decoder structures, achieved the highest overall accuracy with an average of approximately 89.4% and a Kappa coefficient average of about 73.2%. In terms of training time, models based on CNN were the most efficient. however, the use of Transformer-based models resulted in an average improvement of 0.5% in classification accuracy based on the Kappa coefficient. It is considered necessary to refine the model by considering various variables such as adjusting hyperparameters and image patch sizes during the integration process with CNN models. A common issue identified in all models during the land cover classification process was the difficulty in detecting small-scale objects. To improve this misclassification phenomenon, it is deemed necessary to explore the use of high-resolution input data and integrate multidimensional data that includes terrain and texture information.