• International journal of advanced smart convergence
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• v.13 no.1
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• pp.212-220
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• 2024

When a typhoon or natural disaster occurs, a significant number of orchard fruits fall. This has a great impact on the income of farmers. In this paper, we introduce an AI-based method to enhance low-quality raw images. Specifically, we focus on apple images, which are being used as AI training data. In this paper, we utilize both a basic program and an artificial intelligence model to conduct a general image process that determines the number of apples in an apple tree image. Our objective is to evaluate high and low performance based on the close proximity of the result to the actual number. The artificial intelligence models utilized in this study include the Convolutional Neural Network (CNN), VGG16, and RandomForest models, as well as a model utilizing traditional image processing techniques. The study found that 49 red apple fruits out of a total of 87 were identified in the apple tree image, resulting in a 62% hit rate after the general image process. The VGG16 model identified 61, corresponding to 88%, while the RandomForest model identified 32, corresponding to 83%. The CNN model identified 54, resulting in a 95% confirmation rate. Therefore, we aim to select an artificial intelligence model with outstanding performance and use a real-time object separation method employing artificial function and image processing techniques to identify orchard fruits. This application can notably enhance the income and convenience of orchard farmers.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.207-210
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• 2001

This paper has been studied a environment matting and compositing, which captures not just a foreground object and its traditional opacity matte from a real-world scene, but also a description of how that object refracts and reflects light. And then this paper has verified and implemented the image compositing system using environment matting method.

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.553-556
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• 2003

In the field of content-based image retrieval, various mathematical low-level features have been proposed to describe the perceptual content of images. Since most of the features are assumed to be independent of each other, one feature is extracted from images without any consideration of the other features. Recently proposed CCE and SCFT taking advantage of the correlation between color and texture have shown relatively good performance. In this paper, the performance of CCE, SCFT, and the traditional regular weighted comparison method are evaluated. Simulation results with natural images have shown that CCE outperforms the other methods.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.287-287
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• 2000

As a method to control the bacteria number in adequate level, a real time control system based on microscope image processing measurement for the bacteria is adopted. For the experiment, Ammonia-oxidizing bacteria such as Acinetobacter sp. are used. This paper proposed hybrid method combined watershed algorithm with adaptive automatic thresholding method to enhance segmentation efficiency of overlapped image. Experiments was done to show the effectiveness of the proposed method compared to traditional Otsu's method, Otsu's method with adaptive automatic thresholding method and human visual method.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.10 no.1
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• pp.89-93
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• 2010

In this paper a new fuzzy clustering approach to the color clustering problem has been proposed. To deal with the limitations of the traditional FCM algorithm, we propose a spatial homogeneity-based FCM algorithm. Moreover, the cluster validity index is employed to automatically determine the number of clusters for a given image. We refer to this method as VS-FCM algorithm. The effectiveness of the proposed method is demonstrated through various clustering examples.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.823-826
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• 2000

Motion detection is an important step in computer vision and image processing. Traditional motion detection systems are classified into two categories, namely, feature based and gradient based. In feature based motion detection, features in consecutive frames are detected and matched. Gradient based methods assume that the intensity varies linearly and locally. The method, which we propose, is neither feature nor gradient based but uses the electric field theory. The pixels in an image are modeled as point charges and motion is detected by using the variations between the two electric fields produced by the charges corresponding to the two images.

• Korean journal of food and cookery science
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• v.28 no.4
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• pp.413-421
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• 2012

This study was conducted with 418 adults 20 years or older, all of whom lived in Daegu and Gyeongbuk. According to a survey, the number of females was greater than that of males (40.7%) by 59.3%, and that for ages 30 years was the highest. The preference for Korean traditional drinks was relatively high at 51.8%, and the frequency of drinking Korean traditional drinks was 39.0%. The adults answered that they had these beverages on special days such as holidays, ritual days, and birthdays. Among the reasons for drinking a traditional beverage 'good taste' scored the highest with 27.0% of respondents, followed by 'Korean traditional food' with 24.4%. The recognition of Korean traditional drinks was high in the order of Sikhe, Soojunggwa, Cha, and Hwachae. The preference for Sikhe was the highest. The group who agreed that it was important to develop a Korean functional traditional drink was 11.5% higher than that of the negative group, as 13.4% 'agreed a lot' and 41.1% 'agreed'. Consumer awareness toward traditional drink functionality was generally positive, with 3.5 points or higher on average, and awareness of the nutritional supplementation, diabetes control, the recuperative effects of the drinks were also high. Among Korean traditional drinks Sikhe was the highest with regard to intention to purchase. As a result, the popularization of traditional Korean drinks was based on three factors: quality oriented image, popularity oriented image, and product attribute-oriented image. These factors significantly influenced the preference for and purchase of Korean functional traditional drinks.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.33 no.4
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• pp.112-128
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• 2015

To consider an identity about traditional folk village, this study analyzes color characteristic of traditional folk village by targeting Cuandixia folk village in China. For method of study, color is analyzed by KSCA(Korea Standard Color Analysis) program and images of color are drawn by I.R.I. Based on these, four results are came out. First, color distribution of Cuandixia is appeared in YR, R, Y, GY order. Furthermore, there are no affiliation of BG, and B but a lot of affiliation of YR. Second, the whole is made up of color that is applied to mist gray/low chroma in the value and chroma stakes. Especially, high chroma is extracted by only commercial old house, the rest is made up of middle and low chroma color. Third, dark color is the most by KS Color System and dark reddish gray and medium gray are occupied most part. Fourth, the whole atmosphere of village is static and hard, and the image is researched as gentle. Through the research, It applies extracted color palette for plan and preservation of traditional folk village. As using the color that is reflected in national and local distinct characteristic, preserving the color reflected in history and culture of the village, and applying color planning considered harmony with surrounding environment, it is expected that it can help to direct the color involved traditional and cultural meaning.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.2
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• pp.185-205
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• 2015

The modern trend in costumes, influenced by postmodernism, is to use of various patterns and images borrowed from diverse cultures of many ethnic groups. The Yi tribe studied in this paper is miner ethnic group in China, whose traditional costume is very splendid and modern. In addition, its embroidery or $appliqu{\acute{e}}$ pattern have a high artistic value in that its shapes are diverse, splendid and each one has its own peculiar elegance. As for the research method, I examined the Yi tribe's history, culture, traditional costumes and patterns through related books, research papers and inter web sites. As for the result, the Yi tribe's costumes consisted of a jacket, trousers or a skirt, an apron and a belt. Although the favorite color of the costume is black color, there are splendid embroidery or $appliqu{\acute{e}}$ decorations with the colors of red, yellow, green and purple on the chest or shoulder part of a jacket, the adjusting lines, cuffs or a part of a trousers and aprons. Patterns in their traditional clothing also show details that depict traditional cultural ideas that have long been formed in various fields, such as aesthetics, religion, philosophy, and customs. Moreover, most patterns displayed in their traditional clothing contain nature motifs and represent unique and beautiful designs; some patterns are even reminiscent of abstract paintings by modern artists. In conclusion, the traditional patterns of Chinese ethnic minorities reflect the values and notions of these races as well as decorative magnificence and a unique spiritual image. In other words, traditional patterns indicate the spiritual depth or symbolic stories beyond mere formative beauty.

• Journal of Fashion Business
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• v.19 no.2
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• pp.149-170
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• 2015

The purpose of this study is to link the Yi tribe's traditional patterns to bag design. Yi tribe is a minor ethic group in China, whose traditional pattern has a high artistic value in that its shapes are diverse and each one has peculiar elegance. Traditional patterns are also indicative of spiritual dept or symbolic stories, rather than being indicative of simple formative beauty. Thus, reorganizing these patterns and applying them artistically to design- in terms of resource utilization- would be significant. Out of all of the Yi tribe's traditional patterns, the cherry blossom_(马樱花), water wave_(水波), sky father and earth mother_(天父地母), pomegranate blossom, triangle, sheep' horn, wisteria vine_(藤条), square and diaper_(四角菱形) and the zigzag_(曲折) patterns were chosen for use during the development of a bag design. This study is based upon document study, including research papers and internet web sites, the point of which was to investigate the form of the traditional patterns, and the creative design process. The design procedure includes these sub-processes: selection, arrangement and color-scheme. In the selection process, the form of the pattern was edited using Adobe Photoshop. The pattern was freely arranged to reflect various emotions. In terms of the color-scheme of the patterns, the colors used by Henri Matisse(1869-1954) in his work were selected and adapted when dyeing the patterns. Subsequently, the final design resulting from these design development processes was applied to the actual production of the bag by using canvas fabric and leather, after which the bag image was proposed using computer simulation. In conclusion, six bag designs were created using traditional patterns from the Yi tribe. Through the processes explained above, this study confirmed that traditional patterns could be widely applied as design motifs and that more sophisticated, modern, and creative designs could be developed based on traditional patterns.