• 제목/요약/키워드: desired image

검색결과 395건 처리시간 0.025초

동적 물체에 대한 로봇 매니퓰레이터의 Visual Servoing (Visual Servoing of Robotic Manipulators for Moving Objects)

  • 심귀보;오승욱
    • 전자공학회논문지B
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    • 제33B권1호
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    • pp.15-24
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    • 1996
  • 본 논문은 로봇 매니퓰레이터의 엔드 이펙터(end-effector)에 부착된 스테레오 카메라를 사용하여 움직이는 물체의 초기자세나 이동에 관한 정보가 미지인 3차원 물체의 파지(grasping)를 위해서, 로봇 매니퓰레이터의 자세(위치 및 방위)제어에 관한 새로운 비주얼 서보잉(visual servoing)을 제안한다. 로봇 매니퓰레이터의 현재의 자세를 목표자세에 잘 추적하기 위해서 본 논문에서는 카메라 자세에 대한 대상물체의 자세변화와 이미지상의 특정점 변화를 기술하는 관계식인 이미지 Jacobian을 미분변환을 이용하여 구했으며, 로봇 매니퓰레이터의 제어를 위해서는 간단한 PD제어기를 사용하였다. 마지막으로 다양한 컴퓨터 시뮬레이션을 통하여 제안한 수법의 유효성을 확인했다.

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명도조정기법을 이용한 천연색 지도영상의 제작 (Design of Color Map Image Using Intensity-Adjustment Method)

  • 곽재하;최철웅;강인준
    • 한국측량학회지
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    • 제13권2호
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    • pp.163-168
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    • 1995
  • 색은 칼라 모니터 상에서 삼원색에 대한 수치를 조합하여 나타내는 RGB칼라모델과 명도, 색도, 채도항의 IHS 칼라모델, CMY칼라모델, YIQ 칼라모델 등을 이용하여 나타낼 수 있다. IHS칼라모델은 RGB칼라모델보다 사용자가 색을 수학적으로 평가하여 쉽게 조정할 수 있는 이점이 있다. 본 연구에서는 Landsat TM의 밴드 3,2,1을 조합한 인공위성 영상과 스캐닝한 지도영상을 IHS 변환과 명도 조정 기법을 이용하여 색분해를 통한 재합성을 실시하므로서 천연색 지도 영상을 제작할 수 있었다. 그리고 인공위성영상과 지도영상을 합성할 때 발생하는 문제점과 그 해결방안을 제시하였다.

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만화화 파라미터 튜닝을 위한 대화형 유전자 알고리즘 (Interactive genetic algorithm for cartooning parameter tuning)

  • 이선영;유민준;윤종철;이인권
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2009년도 학술대회
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    • pp.443-448
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    • 2009
  • 본 논문에서는 필터링 기반으로 한 이미지 만화화를 위한 파라미터 조절을 위해 대화형 유전자 알고리즘을 이용한 시스템을 제안한다. 만화화의 스타일은 사람마다 주관적이고, 비전문가가 파라미터를 직접 조절하는 데에는 시그널 프로세싱에 대한 이해가 요구되므로 쉽지 않은 일이다. 우리는 이러한 문제점을 해결하기 위해 사용자에게 직접 평가함수를 받고 사용자가 원하는 방향으로 해를 찾아주는 대화형 유전자 알고리즘 기법을 이용하는 인터페이스 기술을 제안한다. 이 방법을 이용하면 비전문적인 사용자도 원하는 스타일의 만화화를 생성하는 파라미터를 비교적 빠른 시간 안에 설정해 줄 수 있었다.

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영상처리를 위한 퍼지화된 대각형 Recurrent 신경망에 관한 연구 (A study on the fuzzified Diagonal Recurrent Neural Networks for the Image Processing)

  • 변오성;문성룡
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.478-481
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    • 1999
  • In this paper, we could analyze and compare with the generalized Recurrent neural networks and the Recurrent neural networks applying the fuzzy. The total system is digitalized in order to be filtering the image, and the fuzzy is applied to the generalized Recurrent in order to be fast the operation speed. So the fuzzified Recurrent neural networks are completely removed to the included noise in the image, and could converge on a certain value as controlling the weight and iteration frequency corresponding to the desired target value. Also, that values are compared and analysed using MSE and PSNR. When applying to the image which is included to the noise in the generalized Recurrent and the Recurrent applying the fuzzy, the Recurrent applying the fuzzy is shown the superiority at the noise and the fixed convergence part through MSE and PSNR in the computer simulations.

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RGB 공간상의 국부 영역 블록의 왜곡척도를 고려한 칼라 영상 양자화 (Color image quantization considering distortion measure of local region block on RGB space)

  • 박양우;이응주;김경만;엄태억;하영호
    • 한국통신학회논문지
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    • 제21권4호
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    • pp.848-854
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    • 1996
  • Many image display devices allow only a limited number of colors to be simultaneously displayed. in disphaying of natural color image using color palette, it is necessary to construct an optimal color palette and the optimal mapping of each pixed of the original image to a color from the palette. In this paper, we proposed the clustering algorithm using local region block centered one color cluster in the prequantized 3-D histogram. Cluster pairs which have the least distortion error are merged by considering distortion measure. The clustering process is continued until to obtain the desired number of colors. The same as the clustering process, original color value. The proposed algorithm incroporated with a spatial activity weighting value which is reflected sensitivity of HVS quantization errors in smoothing region. This method produces high quality display images and considerably reduces computation time.

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배경 잡음 제거 알고리즘을 적용한 3차원 광자 계수 집적 영상의 화질 향상 (Visual quality enhancement of three-dimensional photon-counting integral imaging using background noise removal algorithm)

  • 조기옥;김영준;김철수;조명진
    • 한국정보통신학회논문지
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    • 제20권7호
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    • pp.1376-1382
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    • 2016
  • 본 논문에서는, 배경 잡음 제거 알고리즘을 적용하여 일반적인 3차원 광자 계수 집적 영상의 화질을 개선하는 방법을 설명한다. 광자 계수 영상법은 광자가 매우 희박한 환경에서 소수의 광자를 검출하여 영상을 시각화 하는 방법이다. 하지만, 배경에서 발생되는 광자의 수가 많을 때, 원하는 물체의 광자 검출은 매우 어렵다. 이로 인해, 복원된 영상의 화질이 저하되는 문제점이 있다. 따라서, 본 논문에서는 불필요한 배경 잡음을 제거하고 오로지 원하는 물체에서만 광자를 검출하는 새로운 광자 계수 영상법을 제안한다. 또한, 3차원 정보를 획득하기 위해 집적 영상을 사용한다. 제안된 알고리즘의 유용성을 증명하기 위하여 광학적 실험을 수행하고 성능 평가를 위해 평균 제곱 오류 값을 계산한다.

Controller for Single Line Tracking Autonomous Guidance Vehicle Using Machine Vision

  • Shin, Beom-Soo;Choi, Young-Dae;Ying, Yibin
    • Agricultural and Biosystems Engineering
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    • 제6권2호
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    • pp.47-53
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    • 2005
  • AMachine vision is a promising tool for the autonomous guidance of farm machinery. Conventional CCD camera for the machine vision needs a desktop PC to install a frame grabber, however, a web camera is ready to use when plugged in the USB port. A web camera with a notebook PC can replace existing camera system. Autonomous steering control system of this research was intended to be used for combine harvester. If the web camera can recognize cut/uncut edge of crop, which will be the reference for steering control, then the position of the machine can be determined in terms of lateral offset and heading angle. In this research, a white line was used as a cut/uncut edge of crop for steering control. Image processing algorithm including capturing image in the web camera was developed to determine the desired travel path. An experimental vehicle was constructed to evaluate the system performance. Since the vehicle adopted differential drive steering mechanism, it is steered by the difference of rotation speed between left and right wheels. According to the position of vehicle, the steering algorithm was developed as well. Evaluation tests showed that the experimental vehicle could travel within an RMS error of 0.8cm along the desired path at the ground speed of $9\sim41cm/s$. Even when the vehicle started with initial offsets or tilted heading angle, it could move quickly to track the desired path after traveling $1.52\sim3.5m$. For turning section, i.e., the curved path with curvature of 3 m, the vehicle completed its turning securely.

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컬러 맵과 컬러 칩 추출의 특허 출원과 적용 사례 (Extracting the color map and color chip for a patent and application)

  • 이금희
    • 복식문화연구
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    • 제20권6호
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    • pp.869-882
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    • 2012
  • The purpose of this study is to obtain the patent for extracting the color map and color chip from the color image source and to develop color image map for fashion design. For this study, fashion image maps were produced from 210 pictures with Adobe Photoshop CS2 program targeting 200 university students from 2004 to 2006. The procedures for extracting the color map and color chip included providing the color image, the filtering phase, the segmentation phase, the extraction phrase, and the arrangement phase. Based on the results of this study, patent application was made to KIPO(Korean Intellectual Property Office) for this invention. The following effects can be expected from the standpoint of design based on the case study. First, it is a straight forward procedure to extract a color chip and color map from a color image. Second, it can be applied to various art works based on the recombination of colors as representative colors can be extracted from the related color image that combines a variety of colors. Third, desired colors can be selected based on the taste cluster classification or sensibility axis of design by extracting the representative color from the color image.

백라이트 유닛의 결함 검사를 위한 비전 시스템 개발 (Development of Vision system for Back Light Unit of Defect)

  • 한창호;오춘석;유영기;조상희
    • 대한전기학회논문지:시스템및제어부문D
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    • 제55권4호
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    • pp.161-164
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    • 2006
  • In this thesis we designed the vision system to inspect the defect of a back light unit of plat panel display device. The vision system is divided into hardware and inspection algorithm of defect. Hardware components consist of illumination part, robot-arm controller part and image-acquisition part. Illumination part is made of acrylic panel for light diffusion and five 36W FPL's(Fluorescent Parallel Lamp) and electronic ballast with low frequency harmonics. The CCD(Charge-Coupled Device) camera of image-acquisition part is able to acquire the bright image by the light coming from lamp. The image-acquisition part is composed of CCD camera and frame grabber. The robot-arm controller part has a role to let the CCD camera move to the desired position. To take inspections of surface images of a flat panel display it can be controlled and located every nook and comer. Images obtained by robot-arm and image-acquisition board are saved on the hard-disk through windows programming and are tested whether there are defects by using the image processing algorithms.

Registration of 3D CT Data to 2D Endoscopic Image using a Gradient Mutual Information based Viewpoint Matching for Image-Guided Medialization Laryngoplasty

  • Yim, Yeny;Wakid, Mike;Kirmizibayrak, Can;Bielamowicz, Steven;Hahn, James
    • Journal of Computing Science and Engineering
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    • 제4권4호
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    • pp.368-387
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    • 2010
  • We propose a novel method for the registration of 3D CT scans to 2D endoscopic images during the image-guided medialization laryngoplasty. This study aims to allow the surgeon to find the precise configuration of the implant and place it into the desired location by employing accurate registration methods of the 3D CT data to intra-operative patient and interactive visualization tools for the registered images. In this study, the proposed registration methods enable the surgeon to compare the outcome of the procedure to the pre-planned shape by matching the vocal folds in the CT rendered images to the endoscopic images. The 3D image fusion provides an interactive and intuitive guidance for surgeon by visualizing a combined and correlated relationship of the multiple imaging modalities. The 3D Magic Lens helps to effectively visualize laryngeal anatomical structures by applying different transparencies and transfer functions to the region of interest. The preliminary results of the study demonstrated that the proposed method can be readily extended for image-guided surgery of real patients.