• Title/Summary/Keyword: Moon image

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인공지능과 IoT 기술을 활용한 댁내 스마트팜 구축 (Building a Smart Farm in the House using Artificial Intelligence and IoT Technology)

  • 문지예;권가은;김하영;문재현
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2020년도 추계학술발표대회
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    • pp.818-821
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    • 2020
  • The artificial intelligence software market is developing in various fields world widely. In particular, there is a wide variety of applications for image recognition technology using deep learning. This study intends to apply image recognition technology to the 'Home Gardening' market growing rapidly due to COVID-19, and aims to build a small-scale smart farm in the house using artificial intelligence and IoT technology for convenient crop cultivation for busy people living in cities. This intelligent farm system includes an automatic image recognition function and recommendation function based on temperature and humidity sensor-based indoor environment analysis.

아웃페인팅 기반 반려동물 자세 추정에 관한 예비 연구 (A Pilot Study on Outpainting-powered Pet Pose Estimation)

  • 이규빈;이영찬;유원상
    • 융합신호처리학회논문지
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    • 제24권1호
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    • pp.69-75
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    • 2023
  • 최근 동물 행동 분석 및 건강관리 분야를 중심으로 딥러닝 기반 동물 자세 추정 기법에 대한 관심이 높아지고 있다. 그러나 기존 동물 자세 추정 기법은 영상에서 신체 부위가 가려지거나 존재하지 않을 경우 좋은 성능을 보이지 않는다. 특히 꼬리나 귀가 가려진 경우, 반려견의 행동 및 감정 분석의 성능에도 심각한 영향을 미친다. 본 논문에서는 이러한 다루기 힘든 문제를 해결하기 위해, 이미지 아웃페인팅 네트워크를 자세 추정 네트워크에 연결하여 이미지 외부에 존재하는 반려견의 신체를 복원한 확장된 이미지를 생성하여 반려견의 자세를 추정하는 단순하면서도 새로운 접근방법을 제안하였고, 제안된 방법의 실현가능성을 검토하는 예비 연구를 수행하였다. 이미지 아웃페인팅 모델로는 CE-GAN과 트랜스포머 기반의 BAT-Fill을 사용하였고, 자세 추정 모델로는 SimpleBaseline을 사용하였다. 실험 결과, 크롭된 입력 이미지에서 반려견의 자세를 추정하였을 때보다, BAT-Fill을 사용하여 아웃페인팅된 확장 이미지에서 반려견의 자세를 추정하였을 때 자세 추정의 성능이 향상되었다.

영상 처리 방법을 이용한 구조물의 큰 변위 저주파 진동 계측 (Measurement of Large-amplitude and Low-frequency Vibrations of Structures Using the Image Processing Method)

  • 김기영;곽문규
    • 한국소음진동공학회논문집
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    • 제15권3호
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    • pp.329-333
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    • 2005
  • This paper is concerned with the measurement of low-frequency vibrations of structures using the image processing method. To measure the vibrations visually, the measurement system consists of a camera, an image grabber board, and a computer. The specific target installed on the structure is used to calculate the vibration of structure. The captured image is then converted into a pixel-based data and then analyzed numerically. The limitation of the system depends on the image capturing speed and the size of image. In this paper, we propose the methodology for the vibration measurement using the image processing method. The method enables us to measure the displacement directly without any contact. The current resolution of the vibration measurement is limited to sub centimeter scale. However, the frequency bandwidth and resolution can be enhanced by a high-speed and high-resolution image processing system.

물체 인식을 위한 개선된 모드 영상 분할 기법 (Implementation Mode Image Segmentation Method for Object Recognition)

  • 문학룡;한운동;조흥기;한성용;전희종
    • 전기학회논문지P
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    • 제51권1호
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    • pp.39-44
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    • 2002
  • In this paper, implementation mode image segmentation method for separate image is presented. The method of segmentation image in conventional method, the error are generated by the threshold values. To improve these problem for segmentation image, the calculation of weighting factor using brightness distribution by histogram of stored images are proposed. For safe image of object and laser image, the computed weighting factor is set to the threshold value. Therefore the image erosion and spread are improved, the correct and reliable informations can be measured. In this paper, the system of 3-D extracting information using the proposed algorithm can be applied to manufactory automation, building automation, security guard system, and detecting information system for all of the industry areas.

Development of automatic measurement method of concentricity and roundness using image processing technique

  • Moon, Hyung-Wook;Huh, Kyung-Moo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.130.2-130
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    • 2001
  • In this paper, we suggest an algorithm for the automatic measurement of concentricity and roundness using image processing technique. From the experimental results, we could find that the required measurement accuracy specification is sufficiently satisfied using our proposed method.

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A Model to Predict the Strength of Watermark in DWT-Based Image Watermarking

  • Moon, Ho-Seok;Park, Suk-Bong;Bae, Hyun-Wung
    • Journal of the Korean Data and Information Science Society
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    • 제19권2호
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    • pp.475-485
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    • 2008
  • One of main issues in watermarking is to resolve the strength of watermark for solving the problem of trade-off between fidelity and robustness of watermarking. In the previous research, the strength of watermark has been resolved fixed value generally without considering local image characteristics such as image brightness, contrast, and edge. This paper proposes a new model to predict the strength of watermark considering local image characteristics such as image brightness, contrast, and edge for digital wavelet transform(DWT)-based image watermarking. For the study, psychological experiment was fulfilled to measure the human image perception and regression analysis showed the proposed model was statistically significant at the level of ${\alpha}\;=\;0.01$. Also the model is practically validated on fidelity and robustness of watermarking.

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영상처리를 이용한 정동적 변위 계측과 속도, 가속도 추산방식 연구 (Measurement of Static and Dynamic Displacement by Image Processing and Study for Prediction Method of Velocity and Acceleration)

  • 허석;곽문규;이호범
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2010년도 추계학술대회 논문집
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    • pp.527-532
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    • 2010
  • This paper is concerned with the measurement of static and dynamic displacement by image processing(IP) and study for prediction method of velocity and acceleration. To measure the displacement visually, the measurement system consists of a telephoto zoom camera, ccd image device and a computer. The specific target on the white board is used to calculate the displacement of the structure. The captured image is then converted into a pixel-based data and then analyzed numerically. The limitation of the system depends on the image capturing speed and the pixel-size of image. In this paper, we developed for the displacement measurement using the image processing method. The proposed method enables us to measure the vibration measurement, velocity and acceleration directly without any contact. The current resolution of the displacement measurement is limited to 1/100 millimeter scale.

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스트라이프 문양과 의복스타일에 따른 이미지 차이와 포지셔닝 연구 (The Study of the Image and Positioning according to Stripe Pattern and Clothing Style)

  • 문주영
    • 한국의류산업학회지
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    • 제12권1호
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    • pp.1-9
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    • 2010
  • A purpose of this study was to find out how the casual and formal style clothes of stripe pattern giving variety by pattern direction, pattern width, and contrast coloration have an effect on image of wearers. 432 stimuli were made and 2,800 testee evaluated them using semantic differential scale. As a result, five image dimensions were drawn as a factor of attractiveness, activeness, gracefulness, visibility, and tenderness. In consequence of analysing the image difference by stripe pattern and clothing style, the stripe pattern and clothing style affect image presentation as a significant clue. And besides, as a result of positioning stimuli by image, pattern direction, coloration, and tone combination were important clues that decide image. Consequently, clothing style, stripe pattern, and contrast coloration were made clear as an efficient parameter in image presentation of clothing wearers.