• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.35.4-35
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• 2001

Image detection system for road traffic data analysis is a real time detection system using image processing techniques to get the real-time traffic information which is used for traffic control and analysis. One of the most important functions in this system is to match the coordinates of real world and that of image on video camera. When there in no way to know the exact position of camera and it´s height from the object. If some points on the road of real world are known it is possible to calculate the coordinates of real world from image.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
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• pp.29-30
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• 2021

본 논문에서는 이미지 분류에 쓰이는 최신 모델로 CNN과 ImageNet을 기반으로 한 EfficientNet을 활용해서 Square, Oval, Oblong, Round, Heart 총 다섯 가지의 얼굴 모양으로 분류하는 task에 두 가지 데이터로 실험해보고 추가적으로 Image Augmentation 기법을 활용해 성능향상을 보였다.

• Transactions on Control, Automation and Systems Engineering
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• 제4권3호
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• pp.224-230
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• 2002

In this paper, a counting algorithm hybridized with an adaptive automatic thresholding method based on Otsu's method and the algorithm that elongates markers obtained by the well-known watershed algorithm is proposed to enhance the exactness of the microcell counting in microscopic images. The proposed counting algorithm can be stated as follows. The transformed full image captured by CCD camera set up at microscope is divided into cropped images of m$\times$n blocks with an appropriate size. The thresholding value of the cropped image is obtained by Otsu's method and the image is transformed into binary image. The microbial cell images below prespecified pixels are regarded as noise and are removed in tile binary image. The smoothing procedure is done by the area opening and the morphological filter. Watershed algorithm and the elongating marker algorithm are applied. By repeating the above stated procedure for m$\times$n blocks, the m$\times$n segmented images are obtained. A superposed image with the size of 640$\times$480 pixels as same as original image is obtained from the m$\times$n segmented block images. By labeling the superposed image, the counting result on the image of microbial cells is achieved. To prove the effectiveness of the proposed mettled in counting the microbial cell on the image, we used Acinetobacter sp., a kind of ammonia-oxidizing bacteria, and compared the proposed method with the global Otsu's method the traditional watershed algorithm based on global thresholding value and human visual method. The result counted by the proposed method shows more approximated result to the human visual counting method than the result counted by any other method.

• 한국의류학회지
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• 제34권12호
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• pp.2022-2038
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• 2010

Our study was designed to provide some insights on positive country image and the mechanisms of influence that Asian fashion industries can draw upon for future benefit. We focused on a country image and fashion products with Asian ethnic influence. Asian traditional costume elements reflected in contemporary fashion products may be important representative tools for national cultural identity. This study qualitatively investigated how and to what extent country image and additional information influence the evaluation of fashion products influenced by Chinese, Japanese, and Korean traditional dress. We conducted four focus-group interviews (FGI) with 30 students from a fashion program at a university in the United States. We analyzed the evaluation of fashion products influenced by Chinese, Japanese, and Korean traditional dress, and their associations with country image. Our qualitative analysis offered more developed empirical evidence for the various paths through which country image affects the evaluation of fashion products influenced by the ethnic dress of Asians. The results of our study showed that the more direct the source of prior knowledge, the larger the influence on product evaluation. This study showed that certain cues in the evaluation of fashion products with Asian ethnic influence induce changes in the affective state (that stem from the psychological and social nature of fashion products) and illustrate the necessity of considering the affective processes involved in the appropriate use of the country image. In the fashion industry, extrinsic properties such as the country image significantly influence the attitude and purchasing decisions of consumers. The significance of this study lies in its verification of the relationship between the country image and additional information. Modular and situational-contextual influences are also revealed as important factors that deserve more attention, as well as considerations regarding the dimensions of the country image described in attitude theory.

• Journal of the Optical Society of Korea
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• 제18권5호
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• pp.523-530
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• 2014

Machine material and structural strain are critical factors for appraising mechanical properties and safety. Particularly in three and four-point bending tests, which appraise the deflection and flexural strain of an object due to external force, measurements are made by the crosshead movement or deflection meter of a universal testing machine. The Digital Image Correlation (DIC) method is one of the non-contact measurement methods. It uses the image analyzing method that compares the reference image with the deformed image for measuring the displacement and strain of the objects caused by external force. Accordingly, the advantage of this method is that the object's surface roughness, shape, and temperature have little influence. However, its disadvantage is that it requires extensive time to compare the reference image with the deformed image for measuring the displacement and strain. In this study, an algorithm is developed for DIC that can improve the speed of image analysis for measuring the deflection and strain of an object caused by a three-point bending load. To implement this algorithm for improving the speed of image analysis, LabVIEW 2010 was used. Furthermore, to evaluate the accuracy of the developed fast correlation algorithm, the deflection of an aluminum specimen under a three-point bending load was measured by using the universal test machine and DIC measurement system.

• 마케팅과학연구
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• 제15권2호
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• pp.49-69
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• 2005

본 연구에서는 점포이미지, 유통업체상표이미지, 구매의도간의 인과관계를 규명해보는 건으로 부산지역의 전국유통업체와 지역유통업체의 비교를 통해 이루어졌다. 본 연구의 목적은 첫째, 점포이미지가 유통업체이미지에 미치는 영향을 규명하고자 하였다. 둘째, 점포별 점포이미지가 유통업체이미지에 미치는 영향의 차이를 조사하였다. 마지막으로, 점포이미지와 유통업체상표이미지가 유통업체상표구매의도에 미치는 영향을 규명하였다. 연구 결과 유통업체상표이미지에 있어 점포이미지는 긍정적인 영향을 미치는 것으로 나타났다. 특히 점포별로 점포이미지가 유통업체상표이미지에 미치는 영향은 차이가 남을 알 수 있었다 또한, 점포이미지와 유통업체상표이미지가 유통업체상표 구매의도에 유의한 영향을 미치는 것으로 났으며 점포이미지의 영향보다는 유통업체상표이미지의 영향이 구매의도에 더 크게 작용하고 있었다. 연구결과를 토대로 유통업체는 점포이미지의 개선을 통해 유통업상표에 대한 인식을 형성하는 것이 바람직하다고 할 수 있으며, 특히, 점포속성들중에서 특정요소를 부각시킴으로써 유통업체상표를 관리할 필요성을제시하였다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2017년도 춘계공동학술대회
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• pp.42-42
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• 2017

Prediction of rice yield during a growing season would be very helpful to magnify rice yield as it also allows better farm practices to maximize yield with greater profit and lesser costs. UAV imagery based automatic detection of rice can be a relevant solution for early prediction of yield. So, we propose an image processing technique to predict rice yield using low altitude UAV images. We proposed $L^*a^*b^*$ color space based image segmentation algorithm. All images were captured using UAV mounted RGB camera. The proposed algorithm was developed to find out rice grain area from the image background. We took RGB image and applied filter to remove noise and converted RGB image to $L^*a^*b^*$ color space. All color information contain in both $a^*$ and $b^*$ layers and by using k-mean clustering classification of these colors were executed. Variation between two colors can be measured and labelling of pixels was completed by cluster index. Image was finally segmented using color. The proposed method showed that rice grain could be segmented and we can recognize rice grains from the UAV images. We can analyze grain areas and by estimating area and volume we could predict rice yield.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.156-158
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• 2003

Analysis of high-resolution satellite image becomes important for cartography, surveillance, and remote sensing. However, there are lots of problems to be solved for automatic analysis of high-resolution satellite image especially in urban area. The problems are originated from the increased complexity due to the unnecessary details and shadows, and time-varying illuminations. Because of such obstacles, it seems impossible to make automatic analysis. This paper proposes a way of change detection of buildings in urban area by using digital vector map. The proposed way makes the buildings on the vector map parameterized, and searches them in the preprocessed high-resolution image by using generalized Hough transform. The searched building objects are overlaid on the satellite image. The overlaid image can help to detect the change of building rapidly.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1019-1022
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• 2002

The current paper proposes a wavelet-based digital watermarking algorithm using statistical characteristic of image and human visual system (HVS). The original image is decomposed into 4-level using a discrete wavelet transform (DWT), then the watermark is embedded into the perceptually significant coefficients (PSCs) of the image. In general, the baseband of a wavelet-decomposed image includes most of the energy of the original image, thereby having a crucial effect on the image quality. As such, to retain invisibility, the proposed algorithm does not utilize the baseband. Plus, the wavelet coefficients on the lowest level are also excluded in the watermark-embedding step, because these coefficients call be easily eliminated and modified by lossy compression and common signal processing. As such, the PSCs are selected from all subbands, except for the baseband and subbands on the lowest level. Finally, using the selected PSCs, the watermark is then embedded based on spatial masking of the wavelet coefficients so as to provide invisibility and robustness. Computer simulation results confirmed that the proposed watermarking algorithm was more invisible and robust than conventional algorithms.

• 복식
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• 제59권10호
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• pp.111-123
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• 2009

This study investigated the multifaced country image. The casual relationships among the multifaced country image, attitudes toward a country, and purchase emotion and purchase intention of fashion products with Korean images were also investigated. To conduct a quantitative analysis, we collected data from 296 Korean female consumers. SPSS 12.0 and AMOS 5.0 packages were used for statistical analysis. The results of this study as follows. To identify components of country image of Korea, exploratory and confirmatory factor analyses were conducted. This procedure produced five components such as culture, technique/product, ethical values, nationality, and space. Structural equational model was used to analyze the relationships among the country image, attitudes toward a country, purchase emotion, and purchase intention of fashion products with Korean image. The proposed model was verified.