• Title/Summary/Keyword: camera image

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A Study on the Application Technology of Three-dimensional Urban Geo-spatial Simulation using Digital Satellite Image (디지털 위성영상의 3차원 도시공간 시뮬레이션 적용기술연구)

  • 연상호
    • The Journal of the Korea Contents Association
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    • v.4 no.2
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    • pp.7-12
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    • 2004
  • The technique of birdeye image generation of terrain through the use of satellite digital images and digital maps are very important elements and have applications in fanning establishment as well as the actual design of several construction works in complex fields. This paper studies stereo perspective image generation as a possibility through 3-dimensional analysis combined with digital elevation data and remotely sensed images. For this, first of all, ortho-images generated by very accurate GCP and DEM from contour file makes 3-dimensional terrain analysis possible and allows stereo­viewing at the highway construction planning sites. So, we developed the technical methods for the 3-dimensional approach on the planning sites of highways by use of perspective orthoimages. From this research, diverse terrain analysis is possible through stereo perspective image generation, and can leads to various application in road construction through gain study results from access to realtime virtual spatial on the objects area in korea.

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Development of an Imaging Processing System for Automation of a Callus Inoculation (식물조직배양 자동화를 위한 영상처리장치 개발)

  • Chung, Suk-Hyun;No, Dae-Hyun;Song, Jae-Kwan
    • Journal of Bio-Environment Control
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    • v.18 no.2
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    • pp.95-100
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    • 2009
  • This study was conducted to develop an imaging processing system of inoculation processing of a lily callus. The image processing system was composed of a camera, a image processing board, and etc. And the illuminance always decided by setting up 55W/3 wavelength lamp respectively on all aspects and the side was maintained by the lighting part. The image characteristic was examined according to each frame of RGB,therefore the culture vessel was able to be separated with B frame. The required time was 2.2 seconds in one cycle from the image acquisition to obtaining the result. The recognition rate of the container was 100%, and the result of image processing showed that the recognition success rate of lily callus was 93%.

Image Mosaic from a Video Sequence using Block Matching Method (블록매칭을 이용한 비디오 시퀀스의 이미지 모자익)

  • 이지근;정성태
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.8
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    • pp.1792-1801
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    • 2003
  • In these days, image mosaic is getting interest in the field of advertisement, tourism, game, medical imaging, and so on with the development of internet technology and the performance of personal computers. The main problem of mage mosaic is searching corresponding points correctly in the overlapped area between images. However, previous methods requires a lot of CPU times and data processing for finding corresponding points. And they need repeated recording with a revolution of 360 degree around objects or background. This paper presents a new image mosaic method which generates a panorama image from a video sequence recorded by a general video camera. Our method finds the corresponding points between two successive images by using a new direction oriented 3­step block matching methods. Experimental results show that the suggested method is more efficient than the methods based on existing block matching algorithm, such as full search and K­step search algorithm.

Ultrasonic Cavitation Effect Observation Using Bubble Cloud Image Analysis (기포군 영상분석을 통한 초음파 캐비테이션 현상의 변화 관찰)

  • Noh, Si-Cheol;Kim, Ju-Young;Kim, Jin-Su;Kang, Jung-Hoon;Choi, Heung-Ho
    • Journal of Sensor Science and Technology
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    • v.20 no.2
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    • pp.124-130
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    • 2011
  • In this study, in order to evaluate the yield of bubble by ultrasonic cavitation in HIFU sonication, the bubble image analysis was performed. The changing phenomenon of cavitation effect according to the sonication condition was discussed by analyzing the bubble image. Especially the appearance of bubble cloud, the size of micro-bubble, and the yield of bubble were considered. The 500 KHz and 1.1 MHz concave type ultrasonic transducers were used for HIFU sonication. Computer controlled digital camera was used to obtain the bubble image, and the binary image processing(binarization coefficient : 0.15) was performed to analyze them. In results of 500 KHz and 1.1 MHz transducer, the area of bubble cloud was increased in proportion to the rise in sonication intensity($R^2$ : 0.7031 and 0.811). The mean size of single microbubble was measured as 98.18 um in 500 KHz sonication, and 63.38 um in 1.1 MHz sonication. In addition, the amount of produced bubble was increased in proportion to sonication intensity. Through the result of this study and further study for variable image processing method, the quantitative evaluation of ultrasonic cavitation effects in HIFU operation could be possible with the linearity associated with the sonication conditions.

Extracting the Point of Impact from Simulated Shooting Target based on Image Processing (영상처리 기반 모의 사격 표적지 탄착점 추출)

  • Lee, Tae-Guk;Lim, Chang-Gyoon;Kim, Kang-Chul;Kim, Young-Min
    • Journal of Internet Computing and Services
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    • v.11 no.1
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    • pp.117-128
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    • 2010
  • There are many researches related to a simulated shooting training system for replacing the real military and police shooting training. In this paper, we propose the point of impact from a simulated shooting target based on image processing instead of using a sensor based approach. The point of impact is extracted by analyzing the image extracted from the camera on the muzzle of a gun. The final shooting result is calculated by mapping the target and the coordinates of the point of impact. The recognition system is divided into recognizing the projection zone, extracting the point of impact on the projection zone, and calculating the shooting result from the point of impact. We find the vertices of the projection zone after converting the captured image to the binary image and extract the point of impact in it. We present the extracting process step by step and provide experiments to validate the results. The experiments show that exact vertices of the projection area and the point of impact are found and a conversion result for the final result is shown on the interface.

Integrated editing system for 3D stereoscopic contents production (3차원 입체 콘텐츠 제작을 위한 통합 저작 시스템)

  • Yun, Chang-Ok;Yun, Tae-Soo;Lee, Dong-Hoon
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.1
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    • pp.11-21
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    • 2008
  • Recently, it has shown an increased interest in 3D stereoscopic contents due to the development of the digital image media. Therefore, many techniques in 3D stereoscopic image generation have being researched and developed. However, it is difficult to generate high immersion and natural 3D stereoscopic contents, because the lack of 3D geometric information imposes restrictions in 2D image. In addition, control of the camera interval and rendering of the both eyes must be repetitively accomplished for the stereo effect being high. Therefore, we propose integrated editing system for 3D stereoscopic contents production using a variety of images. Then we generate 3D model from projective geometric information in single 2D image using image-based modeling method. And we offer real-time interactive 3D stereoscopic preview function for determining high immersion 3D stereo view. And then we generate intuitively 3D stereoscopic contents of high-quality through a stereoscopic LCD monitor and a polarizing filter glasses.

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A Study on the Internet Broadcasting Image Processing based on Offloading Technique on the Mobile Environments (모바일 환경에서 오프로딩 기술 기반 인터넷 방송 영상 처리에 관한 연구)

  • Kang, Hong-gue
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.63-68
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    • 2018
  • Offloading is a method of communicating, processing, and receiving results from some of the applications performed on local computers to overcome the limitations of computing resources and computational speed.Recently, it has been applied in mobile games, multimedia data, 360-degree video processing, and image processing for Internet broadcasting to speed up processing and reduce battery consumption in the mobile computing sector. This paper implements a viewer that enables users to convert various flat-panel images and view contents in a wireless Internet environment and presents actual results of an experiment so that users can easily understand the images. The 360 degree spherical image is successfully converted to a plane image with Double Panorama, Quad, Single Rectangle, 360 Overview + 3 Rectangle depending on the image acquisition position of the 360 degree camera through the interface. During the experiment, more than 100 360 degree spherical images were successfully converted into plane images through the interface below.

Development of Ubuntu-based Raspberry Pi 3 of the image recognition system (우분투 기반 라즈베리 파이3의 영상 인식 시스템 개발)

  • Kim, Gyu-Hyun;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.868-871
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    • 2016
  • Recently, Unmanned vehicle and Wearable Technology using iot research is being carried out. The unmanned vehicle is the result of it technology. Robots, autonomous navigation vehicle and obstacle avoidance, data communications, power, and image processing, technology integration of a unmanned vehicle or an unmanned robot. The final goal of the unmanned vehicle manual not autonomous by destination safely and quickly reaching. This paper managed to cover One of the key skills of unmanned vehicle is to image processing. Currently battery technology of unmanned vehicle can drive for up to 1 hours. Therefore, we use the Raspberry Pi 3 to reduce power consumption to a minimum. Using the Raspberry Pi 3 and to develop an image recognition system. The goal is to propose a system that recognizes all the objects in the image received from the camera.

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An Image Processing Mechanism for Disease Detection in Tomato Leaf (토마토 잎사귀 질병 감지를 위한 이미지 처리 메커니즘)

  • Park, Jeong-Hyeon;Lee, Sung-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.5
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    • pp.959-968
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    • 2019
  • In the agricultural industry, wireless sensor network technology has being applied by utilizing various sensors and embedded systems. In particular, a lot of researches are being conducted to diagnose diseases of crops early by using sensor network. There are some difficulties on traditional research how to diagnose crop diseases is not practical for agriculture. This paper proposes the algorithm which enables to investigate and analyze the crop leaf image taken by image camera and detect the infected area within the image. We applied the enhanced k-means clustering method to the images captured at horticulture facility and categorized the areas in the image. Then we used the edge detection and edge tracking scheme to decide whether the extracted areas are located in inside of leaf or not. The performance was evaluated using the images capturing tomato leaves. The results of performance evaluation shows that the proposed algorithm outperforms the traditional algorithms in terms of classification capability.

Timber Loading Productivity of Remote Controlled Forestry Equipment Through Image of Monitor (모니터 영상을 통한 원격제어 임업용 장비의 원목상차작업 생산성)

  • Choi, Yun-Sung;Cho, Min-Jae;Oh, Jae-Heun
    • Journal of the Korean Society of Industry Convergence
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    • v.24 no.3
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    • pp.363-371
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    • 2021
  • Forest operations like timber harvesting have already been mechanized to reduce hazards to the worker and increase productivity. However, timber harvesting operations have still been considered potentially dangerous and expensive on steep terrain. Teleoperation, to control the timber harvesting machine at a distance, has the potential to improve the safety, productivity and efficiency of harvesting operations on steep terrain. To verify the effects of teleoperation, an experimental prototype system of a monitor image-based teleoperation was constructed using a real forestry machine. In this study, the productivity of excavator based grapple loader, which is one of the most used mechanized harvesting equipment in the timber production, was analyzed using time-study method. Factors like skill and age of operators, influencing loader productivity in timber loading operation were also evaluated by statistical analysis. Productivity analysis results showed that less experienced operators were more productive than experienced operators for teleoperation through image of monitors in the operator cabin. These results are shown to be unfamiliar to the monitor image and different loading operation pattern by operators. According to the results, the monitor image-based teleoperation system of forestry machine need to improve the resolution and installation position of camera. It was expected that additional studies will be needed for real-time remote control of forestry machine in the future.