• 제목/요약/키워드: Captured Image

검색결과 984건 처리시간 0.031초

PC 카메라에서 추출한 이미지를 이용한 수화인식 (Recognition of Finger Language using Image from PC Camera)

  • 이병환;이기성
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 심포지엄 논문집 정보 및 제어부문
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    • pp.102-104
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    • 2004
  • Finger language is a typical tool for deaf persons. But learning the finger language for non-handicapped persons is very difficult. To overcome these difficulties, a new communication method using visual function is developed recently. Even though the developed system uses the visual function, it needs expensive equipments such as camera and computer. To be used in the real environments, the cost of equipments is a critical factor. If the recognition system for the finger language can be developed with low price equipments, the system can be used in the notebook or cellular phone. The image captured by PC camera was processed by preprocessing algorithm. To recognize the finger language, the resulting image was divide into $5{\times}5$ sections. The recognition system uses a similarity method and position information. The simulation results shows the effectiveness of the proposed algorithm.

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겹치기이음에서 용접선 시각 추적 시스템에 관한 연구 (A study on vision seam tracking system at lap joints)

  • 신정식;김재웅;나석주;최칠룡
    • Journal of Welding and Joining
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    • 제9권2호
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    • pp.20-28
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    • 1991
  • The main subject of this study is the construction of an automatic welding system that has the capability to trace the weld seam in GMA welding of lap joints. The system was composed of a vision sensor, moving torch, and personal computer(IBM-PC). In the developed vision sensor, an image was captured by the frame grabber at the time of short circuit during welding. The threshold method was adopted for determining the structured light and the central difference method for detecting the weld joint. And the seam tracing of the torch was performed by using the data regeneration algorithm. In this system using the image at the time of short circuit, weld seam tracking was performed without any relations to arc light and spatters.

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Multiple cracking analysis of HTPP-ECC by digital image correlation method

  • Felekoglu, Burak;Keskinates, Muhammer
    • Computers and Concrete
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    • 제17권6호
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    • pp.831-848
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    • 2016
  • This study aims to characterize the multiple cracking behavior of HTPP-ECC (High tenacity polypropylene fiber reinforced engineered cementitious composites) by Digital Image Correlation (DIC) Method. Digital images have been captured from a dogbone shaped HTPP-ECC specimen exhibiting 3.1% tensile ductility under loading. Images analyzed by VIC-2D software and ${\varepsilon}_{xx}$ strain maps have been obtained. Crack widths were computed from the ${\varepsilon}_{xx}$ strain maps and crack width distributions were determined throughout the specimen. The strain values from real LVDTs were also compared with virtual LVDTs digitally attached on digital images. Results confirmed that it is possible to accurately monitor the initiation and propagation of any single crack or multiple cracks by DIC at the whole interval of testing. Although the analysis require some post-processing operations, DIC based crack analysis methodology can be used as a promising and versatile tool for quality control of HTPP-ECC and other strain hardening composites.

모바일 장치에서 반사 잔상 제거 알고리즘 구현 (Implementation of Reflection Removal Algorithm on Mobile Device)

  • 이유경;이용환
    • 반도체디스플레이기술학회지
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    • 제20권1호
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    • pp.108-112
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    • 2021
  • Undesired reflection removal from an image captured through glass window is widely needed with the prevalence of camera. In this paper, we present and implement a reflection removal algorithm, which is specially designed for smart devices. Our implementation requires smart phone application to take two input pictures of the same target, one with flash light on and another with flash light off. Then, we find a flash spot in the picture, match the features to align the input pictures, transform the color space, and finally combine the pictures. As the result, we get a resulting image with removed reflection, achieving the visually pleasant.

SIFT 특징점을 이용한 4채널 서라운드 시스템의 동적 영상 정합 알고리즘 (Dynamic Stitching Algorithm for 4-channel Surround View System using SIFT Features)

  • 국중진;강대웅
    • 반도체디스플레이기술학회지
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    • 제23권1호
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    • pp.56-60
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    • 2024
  • In this paper, we propose a SIFT feature-based dynamic stitching algorithm for image calibration and correction of a 360-degree surround view system. The existing surround view system requires a lot of processing time and money because in the process of image calibration and correction. The traditional marker patterns are placed around the vehicle and correction is performed manually. Therefore, in this study, images captured with four fisheye cameras mounted on the surround view system were distorted and then matched with the same feature points in adjacent images through SIFT-based feature point extraction to enable image stitching without a fixed marker pattern.

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Detecting and Segmenting Text from Images for a Mobile Translator System

  • Chalidabhongse, Thanarat H.;Jeeraboon, Poonsak
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.875-878
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    • 2004
  • Researching in text detection and segmentation has been done for a long period in the OCR area. However, there is some other area that the text detection and segmentation from images can be very useful. In this report, we first propose the design of a mobile translator system which helps non-native speakers to understand the foreign language using ubiquitous mobile network and camera mobile phones. The main focus of the paper will be the algorithm in detecting and segmenting texts embedded in the natural scenes from taken images. The image, which is captured by a camera mobile phone, is transmitted to a translator server. It is initially passed through some preprocessing processes to smooth the image as well as suppress noises. A threshold is applied to binarize the image. Afterward, an edge detection algorithm and connected component analysis are performed on the filtered image to find edges and segment the components in the image. Finally, the pre-defined layout relation constraints are utilized in order to decide which components likely to be texts in the image. A preliminary experiment was done and the system yielded a recognition rate of 94.44% on a set of 36 various natural scene images that contain texts.

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Advanced 360-Degree Integral-Floating Display Using a Hidden Point Removal Operator and a Hexagonal Lens Array

  • Erdenebat, Munkh-Uchral;Kwon, Ki-Chul;Dashdavaa, Erkhembaatar;Piao, Yan-Ling;Yoo, Kwan-Hee;Baasantseren, Ganbat;Kim, Youngmin;Kim, Nam
    • Journal of the Optical Society of Korea
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    • 제18권6호
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    • pp.706-713
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    • 2014
  • An enhanced 360-degree integral-floating three-dimensional display system using a hexagonal lens array and a hidden point removal operator is proposed. Only the visible points of the chosen three-dimensional point cloud model are detected by the hidden point removal operator for each rotating step of the anamorphic optics system, and elemental image arrays are generated for the detected visible points from the corresponding viewpoint. Each elemental image of the elemental image array is generated by a hexagonal grid, due to being captured through a hexagonal lens array. The hidden point removal operator eliminates the overlap problem of points in front and behind, and the hexagonal lens array captures the elemental image arrays with more accurate approximation, so in the end the quality of the displayed image is improved. In an experiment, an anamorphic-optics-system-based 360-degree integral-floating display with improved image quality is demonstrated.

피셔 인포메이션을 이용한 영상 복원 알고리즘 (Image Restoration Algorithms by using Fisher Information)

  • 오춘석;이현민;신승중;유영기
    • 대한전자공학회논문지SP
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    • 제41권6호
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    • pp.89-97
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    • 2004
  • 빛을 반사하거나 방출하는 물체의 형상은 여러 원인에 의해 왜곡된 영상으로 센서에 포착된다. 이러한 왜곡을 제거해 원래 물체의 형상을 추정하는 것을 영상 복원이라고 한다. 영상 복원은 결정론적 방법과 확률론적 방법이 있다. 본 논문에서는 확률론적 방법의 한 종류로서 피셔 인포메이션(Fisher Information)으로부터 유도된 MFI(Minimum Fisher Information)을 이용한 영상 복원을 제안한다. 이는 B. Roy Frieden에 의해 최근에 제안된 신호 추정 방법의 하나이다. MFI을 이용한 복원에서 노이즈 제어 파라미터에 따라 영상 복원의 결과가 어떻게 변화하는지를 조사하였으며, 복원의 정확도에 대한 기준으로 크로스 엔트로피(Kullback-Leibler entropy)를 사용하였다.

컨볼루션 신경망을 기반으로 한 드론 영상 분류 (Drone Image Classification based on Convolutional Neural Networks)

  • 주영도
    • 한국인터넷방송통신학회논문지
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    • 제17권5호
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    • pp.97-102
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    • 2017
  • 최근 고해상도 원격탐사 자료의 분류방안으로 컨볼루션 신경망(Convolutional Neural Networks)을 비롯한 딥 러닝 기법들이 소개되고 있다. 본 논문에서는 드론으로 촬영된 농경지 영상의 작물 분류를 위해 컨볼루션 신경망을 적용하여 가능성을 검토하였다. 농경지를 논, 고구마, 고추, 옥수수, 깻잎, 과수, 비닐하우스로 총 7가지 클래스로 나누고 수동으로 라벨링 작업을 완료했다. 컨볼루션 신경망 적용을 위해 영상 전처리와 정규화 작업을 수행하였으며 영상분류 결과 98%이상 높은 정확도를 확인할 수 있었다. 본 논문을 통해 기존 영상분류 방법들에서 딥 러닝 기반 영상분류 방법으로의 전환이 빠르게 진행될 것으로 예상되며, 그 성공 가능성을 확신할 수 있었다.

공간 유사도와 주석을 이용한 이미지 검색 기법 (Image Retrieval Scheme using Spatial Similarity and Annotation)

  • 이수철;황인준
    • 한국정보과학회논문지:데이타베이스
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    • 제30권2호
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    • pp.134-144
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    • 2003
  • 이미지를 비롯한 멀티미디어 데이타의 검색시스템에서 객체들 간의 공간 관계는 이미지를 표현하는 중요한 요소 중의 하나이다. 본 논문에서는 기존의 검색 방식과는 달리 이미지에 나타나 있는 객체들간의 다양한 공간 관계와 각 객체들이 가지고 있는 특징을 이용한 새로운 방식의 이미지 검색 기법을 제안한다. 이것은 질의 이미지와 데이타베이스 내에 있는 이미지들 간의 유사성을 효율적으로 계산하는데 유용하다. 특히 각 객체들 간의 공간 정보와 그들의 특징들에 대한 정보들이 XML 형태로 주석 처리되어 있기 때문에 이전 검색 기법보다 정확하고 신속하게 질의를 처리한다. 마지막으로 제안된 검색기법을 이용한 이미지 검색 시스템을 구현하여, 실제 실험을 통하여 성능을 평가하였다.