• Journal of the Institute of Convergence Signal Processing
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• v.18 no.2
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• pp.76-83
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• 2017

In this study, the original medical image, DICOM file, was converted into TIFF, BITMAP, GIF, JPEG image file, and then the conversion loss ratio according to the image compression and conversion process was quantitatively evaluated using Origin pro and ICY image analysis program. As the evaluation method, 50% MTF, structural similarity index, MSE, RMSE, maximum signal - to - noise ratio and so on were evaluated. The TIFF image file showed the same result as DICOM image in all experimental groups, Image file format. In this study, we propose a new method for evaluating the quality of digital images by applying original evaluation program such as Origin pro or ICY medical image analysis program. Is expected to be used as research data in the field of medical image processing, and TIFF image file showing the same result as DICOM image in the basic research field using digital medical image and evaluation program that does not support DICOM file Therefore, it is believed that it will help to secure reliability in digital medical image processing research using image file.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.117-126
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• 2022

This study seeks to identify usage behaviors and improvement factors to increase the academic and practical application of value the of color image scales. For this purpose, the authors discuss the positive and negative perspectives on the evaluation of previous studies on color image scales. Furthermore, a survey was conducted with 25 color experts who have been working in the field for over five years, and in-depth interviews were conducted with five of them. The contents of the survey are usage behaviors, evaluation, and the improvement of Kobayashi and IRI color image scales. In this process, emotional adjectives that need improvement were derived, and the opinions of experts related to improvements were collected. The analysis results are as follows. 1) As a result of the usage behaviors, 92% were aware of both color image scales. Moreover, 44% used both, and 56% used only one. 2) Regarding familiarity and trust, IRI was higher than Kobayashi. 3) A total of 88% of respondents stated that color image scales were necessary. A total of 43.6% of respondents, the largest group of respondents, indicated that color image scales are necessary in the field of practice. 4) Regarding the need for improvement, 88% responded that IRI color image scales need improvement. 5) The highest response to the factors requiring improvement was the reflection of the times, which was 31.9% for Kobayashi and 30.9% for IRI. 6) When improving color image scales, the adjectives that need to be treated as the most important were shown to be modern (15.8%) → natural, romantic, wild (8.8%) → dynamic (7.0%) → classic, casual, chic (5.3%). In conclusion, limitations were identified in the use of color image scales in practice and in the research areas, and there was a demand for correction and supplementation. The results of this study will serve as a foundational study related to color image scales, and it is expected that subsequent research related to color image scales will follow.

• The Korean Journal of Nuclear Medicine
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• v.25 no.2
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• pp.186-191
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• 1991

Radionuclide cardiac studies lend themselves exceptionally well to functional imaging. This is especially true for gated blood pool scan (GBP). Making functional images is also possible in radionuclide angiocardiography (RNAC). In this study we tried to validate the functional images obtained from RNAC by comparing it with GBP. Twenty three patients (16 patients with coronary artery diseases, 5 with hypertensive heart diseases, and 2 with nonspecific chest pains) underwent simultaneous RNAC and GBP at the same position (LAO $45^{\circ}$). From both studies, global ejection fraction, regional ejection fraction, phase image, amplitude image, stroke image, paradox image, maximum ejection and maximum filling rates were obtained. Global ejection fraction are almost same in both studies. Regional ejection fractions of apex and inferior portion of left ventricle calculated from RNAC are well correlated with those of GBP. Phase and paradox image, maximum ejection and maximum filling rates were obtained. Global ejection fraction are almost same in both studies. Regional ejection fractions of apex and inferior portion of left ventricle calculated from RNAC are well correlated with those of GBP. Phase and paradox images of RNAC are very similar to those of GBP. However, amplitude and stroke images are different. Regional ejection fractions of the left ventricular base, maximum ejection and maximum filling rates obtained from RNAC are significantly different from those of GBP. In conclusion, albeit all of functional images of RNAC is not same as GBP, regional walt motions and global left ventricular function are expected to be successfully analyzed by phase and paradox image and ejection fraction.

• Journal of Astronomy and Space Sciences
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• v.23 no.4
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• pp.415-424
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• 2006

In this paper, requirements of Meteorological Administration about Meteorological Image. (MI) of Communications, Ocean and Meteorological Satellite (COMS) is analyzed for the design of COMS ground station and according to the analysis results, the distribution image size of each observation area suitable for satellite Field Of View (FOV) stated at the requirements of meteorological administration is determined and the precise satellite FOV and the size of distribution image is calculated on the basis of the image size of the determined observation area. The results in this paper were applied to the detailed design for COMS ground station and also are expected to be used for the future observation scheduling and the scheduling of distribution of user data.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.3
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• pp.66-76
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• 2018

Terminal 2 of Incheon in'tl airport had made a grand opening since January 2018. Terminal 2 is currently operated by mainly Korean airline in cooperation with such skyteam members as Delta airline, Air France and Royal Dutch KLM. It is expected another three skyteam member airlines join the separate operation at terminal 2 since this coming winter. It is believed very meaningful research to analyze how separate operation of Global alliance of airlines affects the global brand image of an organization. To find out such effect, researchers have made an empirical analysis of perception of airline staffs working at terminal 2. This paper has focused on how the staffs perceive airline service quality in the changed working environment and on how significantly their perception on service has an effect on airline's global brand image with such moderating variables as organizational efficacy and organizational trust. According to empirical analysis using structural equation modeling, it was proven the variable of responsiveness among perceived airline service qualities had a direct significant effect on formulating airline's global brand image associated with joint venture between Korean airline and Delta airline. However, the other variables had a indirect significant effect on global brand image with moderating effects.

• The Journal of the Korea Contents Association
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• v.8 no.3
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• pp.173-181
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• 2008

This study aims to prove the connection between satisfaction and re-visit intention of customers by examining shopping value and store image depending on product types purchased at Internet shopping malls. The finding of this study revealed that shopping value could be classified into hedonic and utilitarian value, while store image could be extracted into six dimensions such as reputation, product and information service, customer service after purchase, atmosphere, convenience, and safety. Both search goods and experience goods among store image factors were found to have stronger effect on utilitarian shopping value than hedonic shopping one. In addition, it was found that store image and shopping value had an effect on customer satisfaction and re-visit intention depending on product types, with a significant difference. These findings are expected to provide marketing complications for the understanding of differentiated market segments in the Internet shopping mall market, which is facing ever-growing market.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.14-22
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• 2016

Because fuses have many parts, human error can occur during visual inspections. This paper proposes an automatic ammunition test algorithm for preventing human error during an inspection. The automatic ammunition test algorithm consists of the following three steps. First, the image input and preprocessing step is where an inspection image is rotated using an image rotation algorithm and the image is converted to a binary image. Second, the inspection step of arming determines if the ammunition is armed using Masked Template Matching algorithm, etc. Third, the inspection step of the parts determines if the parts are omitted using an image searching algorithm, etc. The arming or parts omission of the fuse are detected efficiently using the ammunition automatic test algorithm. The ammunition automatic test algorithm is expected to help improve the safety and reliability of 40 mm grenade fuse.

• The Journal of Information Technology
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• v.4 no.2
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• pp.129-136
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• 2001

Most of the acoustic microscopes have been constructed acoustic image by simply measuring the amplitude of the reflected signal from the specimen. This method fails to produce images of good quality because the change in amplitude is not sensitive enough to specimen with fine variation. In this paper, we have been constructed the acoustic microscope system which has been able to measure simultaneously the amplitude and phase of the reflected ultrasonic signal. And also we have been constructed the amplitude and phase images for the 500 won coin as a sample and the alumium spacimen with internal round defect, and compared and analyzed these images. In expermental result, the phase image have shown better sensitive than the amplitude image and given better contrast for the micro height variation of specimen. It will be expected that the phase image can be used as an additional bit of information to improve ambiguituities in amplitude image on nondestructive testing for specimen with fine variation.

• Spatial Information Research
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• v.10 no.2
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• pp.331-343
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• 2002

Recently, as various fields of applications using space-borne imagery have been emphasized, interests on integrated analysis or fusion using multi-sources are also increasing. In this study, to investigate applicability of multiple imageries for further regional-scaled application, DN value analysis and multi-resolution classification by using KOMPSAT EOC imagery and Landsat 7 ETM+image data in the Namyangju-city area were performed, and then this classified results were compared to land-use thematic data at the same area. In case of classified results by using muff-resolution image data, it is shown that linear-type features can be easily extracted. furthermore, it is expected that multi-resolution classified image can be effectively utilized to urban environment analysis, according to results of similar pattern by comparative study based on multi-buffered zone analysis or so-called distance analysis along main road features in the study area.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.7
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• pp.7-15
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• 2020

Recently, the fourth industrial revolution has been presented as a new paradigm and additive manufacturing (AM) has become one of the most important topics. For this reason, process monitoring for each cross-sectional layer of additive metal manufacturing is important. Particularly, deep learning can train a machine to analyze, optimize, and repair defects. In this paper, image classification is proposed by learning images of defects in the metal cross sections using the convolution neural network (CNN) image labeling algorithm. Defects were classified into three categories: crack, porosity, and hole. To overcome a lack-of-data problem, the amount of learning data was augmented using a data augmentation algorithm. This augmentation algorithm can transform an image to 180 images, increasing the learning accuracy. The number of training and validation images was 25,920 (80 %) and 6,480 (20 %), respectively. An optimized case with a combination of fully connected layers, an optimizer, and a loss function, showed that the model accuracy was 99.7 % and had a success rate of 97.8 % for 180 test images. In conclusion, image labeling was successfully performed and it is expected to be applied to automated AM process inspection and repair systems in the future.