• Title/Summary/Keyword: Image Enhancing

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Study on enhancing the ultrasonic image for bone densitometry (골밀도 측정을 위한 초음파 영상 개선에 관한 연구)

  • Shin, Jung-Sik;Ahn, Jung-Hwan;Kim, Hyung-Joon;Kim, Hwa-Young;Han, Seung-Moo
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.8 s.173
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    • pp.182-191
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    • 2005
  • It is very important to obtain a high quality of bone image for an accurate ultrasonic measurement of bone mineral density. In this study, we suggested a technique to acquire an optimal image by adapting an acoustic lens and a properly selected ultrasonic probe. Also, we have applied an image processing algorithm with which automatically makes a decision of brightness and contrast of image by generating threshold level, a composition of ultrasonic data, an elimination of noise using modified median filter, and a real time interpolation. We could confirm much improved resolution of bone image with acoustic lens attached to the ultrasonic probe and with the image processing algorithm suggested in this study. Therefore, it became possible to precisely diagnose the osteoprosis using ultrasonic imaging technique.

Image Enhanced Machine Vision System for Smart Factory

  • Kim, ByungJoo
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.2
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    • pp.7-13
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    • 2021
  • Machine vision is a technology that helps the computer as if a person recognizes and determines things. In recent years, as advanced technologies such as optical systems, artificial intelligence and big data advanced in conventional machine vision system became more accurate quality inspection and it increases the manufacturing efficiency. In machine vision systems using deep learning, the image quality of the input image is very important. However, most images obtained in the industrial field for quality inspection typically contain noise. This noise is a major factor in the performance of the machine vision system. Therefore, in order to improve the performance of the machine vision system, it is necessary to eliminate the noise of the image. There are lots of research being done to remove noise from the image. In this paper, we propose an autoencoder based machine vision system to eliminate noise in the image. Through experiment proposed model showed better performance compared to the basic autoencoder model in denoising and image reconstruction capability for MNIST and fashion MNIST data sets.

A Flash Memory Management Method for Enhancing the Recovery Performance (복구 성능 향상을 위한 플래시 메모리 관리 기법)

  • Park, Song-Hwa;Lee, Jung-Hoon;Cho, Sung-Woo;Kim, Sang-Hyun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.13 no.5
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    • pp.235-243
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    • 2018
  • NAND flash memory has been widely used for embedded systems as storage device and the flash memory file systems such as JFFS2, YAFFS/YAFFS2 have been adopted by these embedded systems. The flash memory file systems provide the high performance and overcome the limitations of flash memory. However, these file systems don't solve the slow mount time problem when a sudden power failure happens. In this paper, we proposed a flash memory management method for enhancing the recovery performance. The proposed method manages the flash memory block type and stores the block type information at recovery image block. When file operations are occurred, our method stores the file information at the metadata block before and after the file operation. When mounting the flash memory, our method only scans the recovery image blocks and metadata blocks. The proposed method reduces the mount time by seeking the metadata block locations fast by using the recovery image blocks. We implemented the proposed method and evaluation results show that our method reduces the mount time 13 ~ 46 % compared with YAFFS2.

The Development Process Model of Sports Fan Loyalty via CSR of Professional Sports Teams

  • CHA, Jaehyuk;LEE, Hwan-Yeol;SEO, Won Jae
    • Journal of Sport and Applied Science
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    • v.4 no.2
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    • pp.45-51
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    • 2020
  • Purpose: The purpose of this study is to investigate how sports fans' loyalty is built via CSR activities of professional sports teams. Furthermore, the study sought to suggest the model presenting the process of developing loyalty of sport fans by teams' CSR performance. Research design, data, and methodology: For this purpose, a survey was conducted on 450 professional sports fans through the convenience sampling method. A total of 357 of the data were used for the final analysis. Based on the collected data, frequency analysis, reliability analysis, confirmatory factor analysis, and structural equation model analysis were conducted. Results: The results showed that CSR activities contribute to building a positive image of team. Regarding fan identification, team image has also a positive effect on enhancing identification. The finding has supported the notion that attitudinal loyalty is enhanced by fan identification and further attitudinal loyalty significantly influences behavioural loyalty of fans. Conclusions: The results of this study explored the function of CSR of the teams on attitudinal and behavioural outcomes, loyalty. Moreover, the study suggested the constructual model presenting its role on enhancing fans' attitudes and behaviour affecting participation and consumption. Academic and practical implications were discussed for sport marketers and practitioners.

Strategy for Brand Identity Enhancement of Black Yak: Focusing on the Social Responsibility Activities (블랙야크의 BI(Brand Identity) 강화전략: 사회공헌활동을 중심으로)

  • Yoo, Chang Jo;Lee, Sang Hyun;Jeon, Jung Ok
    • Asia Marketing Journal
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    • v.12 no.3
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    • pp.99-116
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    • 2010
  • There is now intense competition among many outdoor brands in the domestic market. Establishing differentiated brand image and enhancing brand identity are very important in this situation. This case is to investigate Black Yak's strategy for enhancing their brand identity. The Black Yak builds up their popularity by implementing social responsibility activities along with sustaining their extreme traditional outdoor image. It is effective to step up their brand identity. Future challenges and suggestions are discussed at the end.

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Factors influencing the image about emergency medical technology jobs in paramedic students (응급구조(학)과 학생의 응급구조사 직업이미지에 미치는 영향 요인)

  • Hwang, Seong-Hak;Uhm, Dong-Choon
    • The Korean Journal of Emergency Medical Services
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    • v.18 no.3
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    • pp.63-75
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    • 2014
  • Purpose: The purpose of this study was to investigate the image about emergency medical technology (EMT) jobs and to identify factors influencing the image of EMT jobs among students of this department. Methods: A self-reported questionnaire was administered to 532 paramedic students in the cities of D, G, and J between May 28 and June 19, 2013. Data were analyzed by using the SPSS version 21.0 program. Results: The image about EMT jobs was positively related to self-esteem. However, the image about EMT jobs was negatively related to grade and hospital practice experience. In the multiple regression analysis, the adjusted $R^2$ value was .220 (p < .001). Conclusion: The importance of enhancing the self-esteem of paramedic students should be emphasized. Further research on the image about EMT jobs in the hospital practice setting is needed.

A Study on Information Attitude, Brand Attitude, Usage Satisfaction, Brand Image and Brand Loyalty of YouTube Sports Contents Viewer

  • Byun, Kyung-Won
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.206-212
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    • 2020
  • The purpose of this study is to analyze the structural relationship among information attitude, brand attitude, usage satisfaction, brand image and brand loyalty of YouTube sports Contents. The survey subjects to achieve the purpose of this study were selected the 490 YouTube sports contents Viewer in the metropolitan area. Data processing was done with SPSS 23 for frequency analysis, Cronbach's α analysis. Also, AMOS 21 was used for confirmatory factor analysis and structural equation model analysis. The results of the analysis are as follows: First, it is more effective to increase the attitude toward the brand itself rather than information attitude to use satisfaction Second, both information attitude and brand attitude were found to have a positive effect on enhancing brand image. In relation to attitude and image, it was possible to achieve research accumulation for YouTube users. Third, it was found that both the use satisfaction and the brand image presented in the previous study had a positive effect on brand loyalty.

Image Enhancement of Simplified Ultrasonic CT Using Frequency Analysis Method

  • Kim, kyung-Cho;Hiroaki Fukuhara;Hisashi Yamawaki
    • Journal of Mechanical Science and Technology
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    • v.16 no.12
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    • pp.1627-1632
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    • 2002
  • In this paper, a simplified ultrasonic CT system, which uses the information in three directions, that is, 90°, +45° and -45°about the inspection plane, is applied to the high strength steel, and the frequency analysis method for enhancing the C scan or CT image is developed. This frequency analysis method is based on the frequency response property of the material. By comparing the magnitudes in the frequency domain, the special frequency which shows a significant difference between the welded joint and base material was found and used to obtain a C scan or CT image. Experimental results for several kinds of specimens, having a welded joint by electron beam welding, a weld joint by arc welding, on a fatigue crack, showed that the obtained C scan or CT image has better resolution than the results of previous experiments using the maximum value of the received waveform.

Enhancing Depth Accuracy on the Region of Interest in a Scene for Depth Image Based Rendering

  • Cho, Yongjoo;Seo, Kiyoung;Park, Kyoung Shin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.7
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    • pp.2434-2448
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    • 2014
  • This research proposed the domain division depth map quantization for multiview intermediate image generation using Depth Image-Based Rendering (DIBR). This technique used per-pixel depth quantization according to the percentage of depth bits assigned in domains of depth range. A comparative experiment was conducted to investigate the potential benefits of the proposed method against the linear depth quantization on DIBR multiview intermediate image generation. The experiment evaluated three quantization methods with computer-generated 3D scenes, which consisted of various scene complexities and backgrounds, under varying the depth resolution. The results showed that the proposed domain division depth quantization method outperformed the linear method on the 7- bit or lower depth map, especially in the scene with the large object.