• Title/Summary/Keyword: Image Precessing

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Dynamic LEED System Developed by Using Image Precessing (화상처리를 이용한 저에너지 전자회절 시스템(LEED) 개발)

  • 김재훈;김동준;이승민;김재성;변대현;민항기
    • Journal of the Korean Vacuum Society
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    • v.2 no.4
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    • pp.515-519
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    • 1993
  • Image processin software is developed to get spot intensity form the frame of a LEEd pattern obtained by using a CCD Camera and a frame grabber. Imporved algorithm for more reasonable background substraction is implemented in this software . I/V Charateristicsof some spots form Cu(001) suface are collected . These results are compared with those of Davis and Noonan and found to be consistent with the latter results. This software is also applied to meausre RHEEd spot intensity oscillatin, and gives clear oscillations very easily.

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Recognition of Missing and Bad Seedings via Color Image Precessing (칼라 영상처리에 의한 결주 및 불량모 인식)

  • 손재룡;강창호;한길수;정성림;권기영
    • Journal of Biosystems Engineering
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    • v.26 no.3
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    • pp.253-262
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    • 2001
  • This study was conducted to develop the vision system of a robotic transplanter for plug-seedling. A color image processing algorithm was developed to identify and locate empty cells and bad plants in the seedling tray. The image of pepper and tomato seedling tray was segmented into regions of plants, frame and soil using threshold technique which utilized Q of YIQ for finding leaves and H of HSI for finding frame of tray in the color coordinate system. The recognition system was able to successfully identify empty cells and bad seeding and locate their two-dimensional locations. The overall success rate of the recognition system was about 99%.

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Recording and Retrieving a Color Image Using Binary Image Precessing in Holographic Optical Memory (홀로그래픽 광메모리에서 이진 영상 처리를 이용한 컬러 영상 기록 및 복원)

  • Kim, Jung-Hoi;An, Jun-Won;Kim, Nam;Lee, Kwon-Yeon
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.36D no.11
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    • pp.71-81
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    • 1999
  • In this paper, digital holographic data storage system is implemented to record and retrieve the color images using new direct access method and binary image processing. As a result of applying image processing via a proposed direct access method, we can reduce the number of data page than binary image processing using raw file and replay color image of resolution of $128{\times}80{\times}256$ (6.6KB). Also it is showed that the input data can be transformed into digital holograms regardless of any kinds of file such as character data, moving picture. etc.

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An image analysis system Design using Arduino sensor and feature point extraction algorithm to prevent intrusion

  • LIM, Myung-Jae;JUNG, Dong-Kun;KWON, Young-Man
    • Korea Journal of Artificial Intelligence
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    • v.9 no.2
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    • pp.23-28
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    • 2021
  • In this paper, we studied a system that can efficiently build security management for single-person households using Arduino, ESP32-CAM and PIR sensors, and proposed an Android app with an internet connection. The ESP32-CAM is an Arduino compatible board that supports both Wi-Fi, Bluetooth, and cameras using an ESP32-based processor. The PCB on-board antenna may be used independently, and the sensitivity may be expanded by separately connecting the external antenna. This system has implemented an Arduino-based Unauthorized intrusion system that can significantly help prevent crimes in single-person households using the combination of PIR sensors, Arduino devices, and smartphones. unauthorized intrusion system, showing the connection between Arduino Uno and ESP32-CAM and with smartphone applications. Recently, if daily quarantine is underway around us and it is necessary to verify the identity of visitors, it is expected that it will help maintain a safety net if this system is applied for the purpose of facial recognition and restricting some access. This technology is widely used to verify that the characters in the two images entered into the system are the same or to determine who the characters in the images are most similar to among those previously stored in the internal database. There is an advantage that it may be implemented in a low-power, low-cost environment through image recognition, comparison, feature point extraction, and comparison.

Image Superimposition for the Individual Identification Using Computer Vision System (컴퓨터 시각 인식 기법을 이용한 영상 중첩법에 의한 개인식별)

  • Ha-Jin Kim
    • Journal of Oral Medicine and Pain
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    • v.21 no.1
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    • pp.37-54
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    • 1996
  • In this thesis, a new superimposition scheme using a computer vision system was proposed with 7 pairs of skull and ante-mortem photographs, which were already identified through other tests and DNA fingerprints at the Korea National Institute of Scientific Investigation. At this computer vision system, an unidentified skull was caught by video-camcoder with the MPEG and a ante-mortem photograph was scanned by scanner. These two images were processed and superimposed using pixel processing. Recognition of the individual identification by anatomical references was performed on the two superimposed images. These results were as followings. 1. For the enhancement of skull and ante-mortem photographs, various image processing schemes, such as SMOOTH, SHARPEN, EMBOSS, MOSAIC, ENGRAVE, INVERT, NEON and COLOR TO MONO, were applied using 3*5 window processing. As an image processing result of these methods, the optimal techniques were NEON, INVERT and ENGRAVE for the edge detection of skull and ante-mortem photograph. 2. Using various superimposition image processing techniques (SRCOR, SRCAND, SRCINVERT, SRCERASE, DSTINVERT, MERGEPAINT) were compared for the enhancement of image recognition. 3. By means of the video camera, the skull image was inputed directly to a computer system : superimposing it on the ante-mortem photograph made the identification more precise and time-saving. As mentioned above, this image processing techniques for the superimposition of skull and ante-mortem photographs simply used the previous approach, In other wrods, taking skull photographs and developing it to the same size as the ante-mortem photographs. This system using various image processing techniques on computer screen, a more precise and time-saving superimposition technique could be able to be applied in the area of individual identification in forensic practice.

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