• Journal of the Korean Institute of Landscape Architecture
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• v.35 no.1 s.120
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• pp.59-68
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• 2007

This article statistically analyzed contributive levels of district image based on an effect and a similarity index through the evaluation of citizens and suggested the efficient management system of a city image according to the results. For this study, Busan City was selected as a case city by the preceding literature and was investigated concerning district image and city image through a questionnaire. The new evaluation method for analysis of a city image was presented in this process. The results of this research are as follows: 1. Busan City has a substantial positive and culturally unique image, and each of its districts have other image characteristics. for example, the CBD district has a positive image, and the sea shore district has a busy and prosperous image, but the backward sea shore district has an image of stagnancy. 2. The image of Yeonje-gu has the largest effect on the image of Busan. Next in influence are Jung-gu, Saha-gu, Suyoung-gu, respectively. The effect index is closely connected with the variance of evaluative adjectives. 3. Busanjin-gu and Haeundae-gu have similar images to Busan City. Next in similarity are Nam-gu, Jung-gu, Youngdo-gu, Suyoung-gu, respectively. The similarity index is closely connected with the correlation of evaluative adjectives. Busan City and its districts can establish their image strategies with the above analyzed results. This study is meaningful in that a statistical evaluative method was proposed. With continued follow-up research, this study may serve as a systematic and logical model to improve the urban landscape and image.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.3
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• pp.563-572
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• 2024

Image processing and computer vision technologies are becoming increasingly important in a variety of application fields that require techniques and tools for sophisticated image analysis. In particular, image segmentation is a technology that plays an important role in image analysis. In this study, in order to identify recent research trends on image segmentation techniques, we used the Web of Science(WoS) database to analyze the R&D topography based on the network structure of the author's keyword co-occurrence matrix. As a result, from 2015 to 2023, as a result of the analysis of the R&D map of research articles on image segmentation, R&D in this field is largely focused on four areas of research and development: (1) researches on collecting and preprocessing image data to build higher-performance image segmentation models, (2) the researches on image segmentation using statistics-based models or machine learning algorithms, (3) the researches on image segmentation for medical image analysis, and (4) deep learning-based image segmentation-related R&D. The scientometrics-based analysis performed in this study can not only map the trajectory of R&D related to image segmentation, but can also serve as a marker for future exploration in this dynamic field.

• Journal of Korean Society of Rural Planning
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• v.23 no.1
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• pp.31-40
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• 2017

People are making efforts multilaterally to create agricultural landscape beautifully. Still in farming villages, however, large-scale facilities or houses are disharmonized with natural environment because of their outer colors, mostly primary colors, not considering natural environment. The main study is done on experts' color perception. Investigation about perception of color experts ' view according to the existence of the energy business based on the color to set the direction of the rural landscape in the future. The result of the study shows that the image of the rural area is not reflected well, and the symbolic color of the rural landscape is the reverse image according to the energy business. The rural village's image in the future, "Harmonious", "Natural", "Rural" were higher Figure. There were the most important and harmony with nature. Based on such future harmony with nature in the color planning The colors match and is expected to be the color within the scope. Lack of awareness in the current farming town scenery is unsatisfactory. Awareness about the need for further improvement was higher. Therefore, color according to a harmony with nature images in accordance with the type of farming model should be planned.

• Reproductive and Developmental Biology
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• v.37 no.4
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• pp.247-253
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• 2013

Here, we present an approach of blood plasma proteome profiling and their comparisons between the young and the adult pigs as prerequisite for the identification of bio-markers related to the health conditions, growth performance and meat quality. To profile the proteome in porcine plasma, blood samples were collected from 19 young piglets and 20 adult male barrows and the plasma was retrieved. Then, protein profiling was initiated using one and two-dimensional electrophoresis. Proteins were spotted and then identified by MALDI-TOF-TOF and LC-MS-MS. In the results, more than thirty-six and twenty eight protein spots were selected in young piglets and adult pigs, respectively and twenty three proteins were identified. The proteome profile images were compared between those ones using Image Master Version 7.0. The image of expressed proteome showed that most of proteins from plasma of young piglet separated clearly and concentrated in 2DE display compared to ones from adult. Image analysis in detail was carried out to look for the specific proteins related to age progression. It demonstrated that the characteristics of proteome expression could be distinct to their age stages. Further investigations needed to proceed to understand the age dependent change of protein conformation and biological meaning of those differences in proteome expression between young and mature adult pigs.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.5
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• pp.599-606
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• 2019

The Arena Fragmentation Test(AFT) is one of the important tasks for designing a high-explosive warhead. In order to measure the statistics of a warhead in the test, fragments of a warhead that penetrate steel plates are detected by using complex and expensive measuring equipment. In this paper, instead of using specific hardware to measure the statistics of a warhead, we propose to use an image processing based object detection algorithm to detect fragments in AFT. To this end, we use a hard-thresholding method with a brightness feature and apply a morphology filter to remove noise components. We also propose a simple yet effective temporal filtering method to detect only the first penetrating fragments. We show that the performance of the proposed method is comparable to that of a hardware system under the same experimental conditions. Furthermore, the proposed method can produce better results in terms of finding exact positions of fragments.

• Journal of Korea Multimedia Society
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• v.10 no.12
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• pp.1559-1565
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• 2007

The many target-detection methods that use forward-looking infrared (FUR) images can deal with large targets measuring $70{\times}40$ pixels, utilizing their shape features. However, detection small targets is difficult because they are more obscure and there are many target-like objects. Therefore, few studies have examined how to detect small targets consisting of fewer than $30{\times}10$ pixels. This paper presents a small target detection method using clutter rejection with stochastic hypothesis testing for FLIR imagery. The proposed algorithm consists of two stages; detection and clutter rejection. In the detection stage, the mean of the input FLIR image is first removed and then the image is segmented using Otsu's method. A closing operation is also applied during the detection stage in order to merge any single targets detected separately. Then, the residual of the clutters is eliminated using statistical hypothesis testing based on the t-test. Several FLIR images are used to prove the performance of the proposed algorithm. The experimental results show that the proposed algorithm accurately detects small targets (Jess than $30{\times}10$ pixels) with a low false alarm rate compared to the center-surround difference method using the receiver operating characteristics (ROC) curve.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.2
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• pp.88-92
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• 2011

This paper looks at the development of the visual system of robots, and the development of image processing algorism to measure the size of an object and the distance from robot to an object for the visual system. Robots usually get the visual systems with a camera for measuring the size of an object and the distance to an object. The visual systems are accurately impossible the size and distance in case of that the locations of the systems is changed and the objects are not on the ground. Thus, in this paper, we developed robot's visual system to measure the size of an object and the distance to an object using two cameras and two-degree robot mechanism. And, we developed the image processing algorism to measure the size of an object and the distance from robot to an object for the visual system, and finally, carried out the characteristics test of the developed visual system. As a result, it is thought that the developed system could accurately measure the size of an object and the distance to an object.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.10
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• pp.896-901
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• 2015

The skin-frame type structure is designed to investigate the thermal deformation of the wing skin induced by the temperature gradient. In order to effectively simulate the temperature gradient on the wing specimen, a water cooling system is devised on the frame of the specimen. Out of surface skin deformation of the skin-frame type structure made of SUS304 material with respect to the temperature is successfully measured using the digital image correlation (DIC) technique including quantitative evaluation of the measurement uncertainty.

• Korean Institute of Interior Design Journal
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• v.16 no.6
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• pp.240-249
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• 2007

The purpose of this paper is to produce color harmony code based on color harmony prototype in terms of environmental color design. This paper proposes ways of categorizing more accurate color harmony prototype through digital image processing by the computer program called the Color Syntax. The method of analysis adopted in this paper is pixel based color image processing. The study suggests color harmony prototype which are categorized by a color harmony angles. These angles represented internal relations between colors. This study describes development processes of color harmony prototype which is a basis for creating color harmony codes. Development processes of color harmony schema consists of color analysis, color codes generation and color selection. Also, how to analyze color images and to chose suitable harmony color codes among various codes are main research issues. As a final result, 109 color harmony codes have been obtained. These code numbers are suggested through rotating 2 color pairs in a 360-degree arc in the same color harmony angles, the codes which is applicable to the color harmony schema previously developed. This color harmony codes will produce better color environment in a sense that it will help designers to maximally reduce their time consumption, and the results of their designs will also be related to the use of proper color for regional environments.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.5
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• pp.358-363
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• 2019

If the EOIR equipment mounted on an unmanned aircraft transmits images and receives commands through a data link, there may be delays in data transmission depending on the transmission path of the data and the conditions of the ground equipment or wireless network. This increases the possibility of initial target LOCK-ON failure due to the difference between the time when the received image is viewed and the time when the image is taken. Therefore, this paper proposed a way to use frame indexes to synchronize with images, and to increase the success of target tracking by adding frame indexes to commands from the ground station.