• Title/Summary/Keyword: camera image

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Multi-camera based Images through Feature Points Algorithm for HDR Panorama

  • Yeong, Jung-Ho
    • International journal of advanced smart convergence
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    • v.4 no.2
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    • pp.6-13
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    • 2015
  • With the spread of various kinds of cameras such as digital cameras and DSLR and a growing interest in high-definition and high-resolution images, a method that synthesizes multiple images is being studied among various methods. High Dynamic Range (HDR) images store light exposure with even wider range of number than normal digital images. Therefore, it can store the intensity of light inherent in specific scenes expressed by light sources in real life quite accurately. This study suggests feature points synthesis algorithm to improve the performance of HDR panorama recognition method (algorithm) at recognition and coordination level through classifying the feature points for image recognition using more than one multi frames.

KOMPSAT-1 EOC 영상의 기하정확도 분석

  • Kim, Jong-Ah;Jeun, Gab-Ho
    • Aerospace Engineering and Technology
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    • v.1 no.2
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    • pp.141-148
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    • 2002
  • The purpose of this study is to enhance geo-location accuracy of the image data acquired by the Electro-Optical Camera(EOC) onboard KOMPSAT-1. EOC image data were analyzed to verify geo-location error. It was found that the major contribution was the time mark inaccuracy and attitude knowledge error. This study shows that the geo-location accuracy can be enhanced by modifying the time and attitude data of the ancillary data.

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Position Control of an Object Using Vision Sensor (비전 센서를 이용한 물체의 위치 제어)

  • Ha, Eun-Hyeon;Choi, Goon-Ho
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.2
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    • pp.49-56
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    • 2011
  • In recent years, owing to the development of the image processing technology, the research to build control system using a vision sensor is stimulated. However, the time delay must be considered, because it works of time to get the result of an image processing in the system. It can be seen as an obstacle factor to real-time control. In this paper, using the pattern matching technique, the location of two objects is recognized from one image which was acquired by a camera. And it is implemented to a position control system as feedback data. Also, a possibility was shown to overcome a problem of time delay using PID controller. A number of experiments were done to show the validity of this study.

Development of the Roughing Path Measurement System for Footwear (신발 러핑 경로 측정기 개발)

  • 강동배;김화영;손성민;안중환
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.10
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    • pp.120-129
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    • 2003
  • For successful establishment of the roughing CAM system based on reverse engineering, it is necessary to develop the measurement method for generation of roughing path from a physical footwear model. In this study, the development of the roughing path measurement system is presented. It consists of 3 CCD cameras, image acquisition board and the roughing path measurement algorithm. The 3 CCD cameras capture images of the sidewall and the bottom of the footwear and, from two images, the outer and inner lines are extracted using image-processing algorithm. The roughing path measurement algorithm generates the roughing path which is reflected on the change of resolution according to the distance between the CCD camera and the measured point. The experimental results show that the developed system can measure the roughing path within the allowable roughing error range.

A Novel Visual Servoing Method involving Disturbance Observer (외란 관측기를 이용한 새로운 시각구동 방법)

  • Lee, Joon-Soo;Suh, Il-Hong
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.3
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    • pp.294-303
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    • 1999
  • To improve the visual servoing performance, several strategies were proposed in the past such as redundant feature points, using a point with different height and weighted selection of image features. The performance of these visual servoing methods depends on the configuration between the camera and object. And redundant feature points require much computation efforts. This paper proposes the visual servoing method based on the disturbance obsever, which compensates the upper off-diagonal component of image feature jacobian to be the null. The performance indices such as sensitivity for a measure of richness, sensitivity of the control to noise, and comtrollability are shown to be improved when the image feature Jacobian is given as a block diagonal matrix. Computer simulations are carried out for a UUMA560 robot and show some results to verify the effectiveness of the proposed method.

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Quantization Error of Image Signal by Using QMF (QMF를 이용한 영상 양자화오차)

  • 오영훈;권락범;박남천
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.85-88
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    • 2000
  • Signal splitting and perfect reconstruction in subband coding is based on the assumption that quantization errors are negligible. But if subband signal is quantized, 4 types of errors occurs thus it is not impossible to do perfect reconstruction. These errors are QMF design error, aliasing error, signal error and random error. By using the QMF for subband splitting, the QMF error does not present. and by using the Lloyd-Max quantizer for the quantization and by using an appropriate synthesis filter, all signal dependent errors can be cancelled and the remaining error is random error which is uncorrelated with the original image〔1〕. In this thesis, Lenna and Camera-Man image are devided into 10 subbands by using the D4 and D20 wavelet And the subband signals are quantized by using the Lloyd-Max quantizer and the quantization errors are compared. and evaluated.

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A Study on Efficient Image Processing and CAD-Vision System Interface (효율적인 화상자료 처리와 시각 시스템과 CAD시스템의 인터페이스에 관한 연구)

  • Park, Jin-Woo;Kim, Ki-Dong
    • Journal of Korean Institute of Industrial Engineers
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    • v.18 no.2
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    • pp.11-22
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    • 1992
  • Up to now, most researches on production automation have concentrated on local automation, e. g. CAD, CAM, robotics, etc. However, to achieve total automation it is required to link each local modules such as CAD, CAM into a unified and integrated system. One such missing link is between CAD and computer vision system. This thesis is an attempt to link the gap between CAD and computer vision system. In this paper, we propose algorithms that carry out edge detection, thinning and pruning from the image data of manufactured parts, which are obtained from video camera and then transmitted to computer. We also propose a feature extraction and surface determination algorithm which extract informations from the image data. The informations are compatible to IGES CAD data. In addition, we suggest a methodology to reduce search efforts for CAD data bases. The methodology is based on graph submatching algorithm in GEFG(Generalized Edge Face Graph) representation for each part.

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A Design for the Impulse Denoising Filter of Image Using the DSP Processor (DSP프로세서를 이용한 영상의 임펄스 노이즈 제거 필터 설계에 관한 연구)

  • 이상희;문상국;김윤호;류광렬
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.149-153
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    • 2004
  • A Impulse denosing filter design of image for the faster processing time and system compatibility using DSP processor is presented on this paper The system hardware is composed of the stand-alone board with 32 bits DSP processor and vision board for image data acquisition with NTSC CCD camera, and the host computer controls them. The denoising method uses the adaptive median filter. The experiment result is that the system leads to denosing effect as 90% and PSNR 22㏈

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A Study on Detection of Lane and Displacement of Obstacle for AGV using Vision System (비전시스템을 이용한 자율주행량의 차선내 차량의 변위 검출에 관한 연구)

  • Lee, Jin-Woo;Choi, Sung-Uk;Lee, Chang-Hoon;Lee, Yung-Jin;Lee, Kwon-Soon
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2202-2205
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    • 2001
  • This paper is composed of two parts. One is image preprocessing part to measure the condition of the lane and vehicle. This finds the information of lines using RGB ratio cutting algorithm, the edge detection and Hough transform. The other obtains the situation of other vehicles using the image processing and viewport. At first, 2 dimension image information derived from vision sensor is interpreted to the 3 dimension information by the angle and position of the CCD camera. Through these processes, if vehicle knows the driving conditions which are lane angle, distance error and real position of other vehicles, we should calculate the reference steering angle by steering controller.

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An Implementation of Remote Monitoring and Control System using CMOS Image sensor (CMOS 이미지 센서를 이용한 원격지 화상 감시 및 제어 시스템 구현)

  • Choi, Jae-Woo;Ro, Bang-Hyun;Lee, Chang-Keun;Hwang, Hee-Young
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.653-656
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    • 2003
  • We have designed embedded web sewer system and ported Linux operating system version 2.4.5 at our system. And then We implemented to control and monitor widely separated hardware and implemented to monitor widely separated image using CMOS image sensor HV7131B. Web server is the Boa web server with General Public License. We designed for this system using of Intel's SA1110 ARM core base processor and connecting input and output device at GPIO port of SA1110. Device driver of General purpose I/O for Embedded Linux OS is designed. And then the application program controlling driver is implemented to use of common gate interface C language. User is available to control and monitor at client PC. This method have benefit to reduce the Expenditure of hardware design and development time against PC base system and have various and capacious application against firmware base system.

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