• Title/Summary/Keyword: mosaic image

Search Result 167, Processing Time 0.043 seconds

Panoramic-Stereopic Monitoring System for Tele-Operating Excavator by Using Center-viewpoint Corresponding Algorithm (중심시점 일치 알고리즘 기반 원격제어 굴삭기의 파노라믹 입체 모니터링 시스템)

  • Kim, Bong-Seok;Park, Chang-Woo;Jun, Se-Woong;Lee, Jong-Bae
    • Proceedings of the Computational Structural Engineering Institute Conference
    • /
    • 2007.04a
    • /
    • pp.74-77
    • /
    • 2007
  • In this paper, we propose a system which can display panoramic-stereopic image for tele-operating excavator. the system was implemented by using center-viewpoint corresponding algorithm and image mosaic process. We could obtain remarkable result from the survey among the ex-pert of excavator. We also design a control station with RF transfer module, H.264 codec module and suggested algorithm. Especially, our system shows a superb performance on cubic effect and presence sense of a field of excavating work.

  • PDF

A study on detection of mosaic in adult image (성인영상에서 모자이크 검출 기법에 관한 연구)

  • Park, Young-Jae;Kim, Gye-Young
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2014.01a
    • /
    • pp.63-64
    • /
    • 2014
  • 본 논문에서는 성인영상에서 모자이크 검출 기법을 제안한다. 먼저 성인영상에 가장 많이 사용되는 격자형 모자이크 검출을 위하여 입력영상에서 에지를 검출한 후, 에지영상을 이용하여 모자이크 후보영역을 검출한다. 모자이크 후보영역은 모자이크맵을 생성하고 이진화하여 후보영역을 산출한다. 이렇게 산출된 후보영역내의 모자이크맵의 값이 임계치 이상인 영역을 최종 모자이크 영역으로 검출한다. 실험결과 모자이크가 없는 영상에서 약간의 오검출이 있었으나, 전체적으로 우수한 성능을 보였다.

  • PDF

Technique of Seam-Line Extraction for Automatic Image Mosaic Generation (자동 모자이크 영상제작을 위한 접합선 추출기법에 관한 연구)

  • Song, Nak-Hyeon;Lee, Sung-Hun;Oh, Kum-Hui;Cho, Woo-Sug
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.25 no.1
    • /
    • pp.47-53
    • /
    • 2007
  • Satellite image mosaicking is essential for image interpretation and analysis especially for a large area such as the Korean Peninsula. This paper proposed the technique of automatic seam-line extraction and the method of creating image mosaic in automated fashion. The seam-line to minimize artificial discontinuity was extracted using Minimum Absolute Gray Difference Sum algorithm with constraint condition on search-area width and Canny Edge Detection algorithm. To maintain the radiometric balance among images acquired at different time epochs, we utilized Match Cumulative Frequency method. Experimental results showed that edge detection algorithm extracted the seam-lines significantly well along linear features such as roads and rivers.

Tree-Based Static/Dynamic Image Mosaicing (트리 기반 정적/동적 영상 모자이크)

  • Kang, Oh-hyung;Rhee, Yang-won
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.7 no.4
    • /
    • pp.758-766
    • /
    • 2003
  • This paper proposes a tree-based hierarchical image mosaicing system using camera and object parameters for efficient video database construction. Gray level histogram difference and average intensity difference are proposed for scene change detection of input video. Camera parameter measured by utilizing least sum of square difference and affine model, and difference image is used for similarity measure of two input images. Also, dynamic objects are searched by through macro block setting and extracted by using region splitting and 4-split detection methods. Dynamic trajectory evaluation function is used for expression of dynamic objects, and blurring is performed for construction of soft and slow mosaic image.

Method of Generating Shape Feature Vector Using Infrared Video for Night Pedestrian Recognition (야간 보행자인식을 위한 적외선 동영상의 형상특징벡터 생성기법)

  • Song, Byeong Tak;Kim, Tai Suk
    • Journal of Korea Multimedia Society
    • /
    • v.21 no.7
    • /
    • pp.755-763
    • /
    • 2018
  • In this paper, for recognize a night pedestrian from an infrared video, a new method differentiated from the existing feature vector is proposed and experimented. The new approach focuses on the shape feature vector of the structure and shape of the pedestrian image divided by the human body seven split ratio. The pedestrian images are divided into 7 square blocks from the still image of the preprocessing process. And to reduce the dimension, the square block is converted into a mosaic block. The scalar and direction of the shape feature vector is calculated by the brightness and position of the element in the mosaic. For practicality of infrared video system, the proposed method simplifies the data to be processed by reducing the amount of data in the preprocessing in order to continuously batch process the entire system in real time. Through the experiments, we verified the validity of the proposed shape feature vector. In comparison to the existing method, we propose a new shape feature vector generation method as the feature vector for night pedestrian recognition.

DATABASE OF SAR IMAGES OF MONGOLIA AND ITS ROLE FOR UPDATE OF DIFFERENT LAYERS IN A GIS

  • Amarsaikhan, D.;Ganzorig, M.
    • Proceedings of the KSRS Conference
    • /
    • 2003.11a
    • /
    • pp.1090-1092
    • /
    • 2003
  • The aim of this study is to describe the problems and solutions for creating a synthetic aperture radar (SAR) mosaic covering the total territory of Mongolia and highlight the role of the available SAR database for updating different thematic layers stored in a geographical information system (GIS).

  • PDF

3-D Wavelet Compression with Lifting Scheme for Rendering Concentric Mosaic Image (동심원 모자이크 영상 표현을 위한 Lifting을 이용한 3차원 웨이브렛 압축)

  • Jang Sun-Bong;Jee Inn-Ho
    • Journal of Broadcast Engineering
    • /
    • v.11 no.2 s.31
    • /
    • pp.164-173
    • /
    • 2006
  • The data structure of the concentric mosaic can be regarded as a video sequence with a slowly panning camera. We take a concentric mosaic with match or alignment of video sequences. Also the concentric mosaic required for huge memory. Thus, compressing is essential in order to use the concentric mosaic. Therefore we need the algorithm that compressed data structure was maintained and the scene was decoded. In this paper, we used 3D lifting transform to compress concentric mosaic. Lifting transform has a merit of wavelet transform and reduces computation quantities and memory. Because each frame has high correlation, the complexity which a scene is detected form 3D transformed bitstream is increased. Thus, in order to have higher performance and decrease the complexity of detecting of a scene we executed 3D lifting and then transformed data set was sequently compressed with each frame unit. Each frame has a flexible bit rate. Also, we proposed the algorithm that compressed data structure was maintained and the scene was decoded by using property of lifting structure.

CROSSTALK CORRECTION OF THE KMTNet MOSAIC CCD IMAGE (KMTNet 모자이크 CCD 영상의 크로스톡 보정)

  • KIM, SEUNG-LEE;CHA, SANG-MOK;LEE, CHUNG-UK;KIM, DONG-JIN;PARK, BYEONG-GON;LEE, YONGSEOK;PARK, HONG SOO;KYEONG, JAEMANN;CHUN, MOO-YOUNG
    • Publications of The Korean Astronomical Society
    • /
    • v.31 no.3
    • /
    • pp.35-41
    • /
    • 2016
  • We have constructed a wide-field photometric survey system called as the Korea Microlensing Telescope Network (KMTNet) in 2015. It consists of three 1.6 m optical telescopes equipped with mosaic CCD cameras. Four 9k CCDs were installed on the focal plane of each telescope. In this paper, we present the crosstalk analysis of the KMTNet mosaic CCD images. The crosstalk victims caused by bright sources were visible at eight sub-images obtained through different readout ports of each CCD. The crosstalk coefficients were estimated to be several tens of $10^{-4}$ in maximum, differing from sub-image to sub-image, and the non-linearity effect certainly appeared at the victims made from saturated sources. We developed software functions to correct the crosstalk effect of the KMTNet CCD images. The software functions showed satisfying results to remove clearly most of the crosstalk victims and have been implemented in the KMTNet image processing pipeline since 2015 September.

AVHRR MOSAIC IMAGE DATA SET FOR ASIAN REGION

  • Yokoyama, Ryuzo;Lei, Liping;Purevdorj, Ts.;Tanba, Sumio
    • Proceedings of the KSRS Conference
    • /
    • 1999.11a
    • /
    • pp.285-289
    • /
    • 1999
  • A processing system to produce cloud-free composite image data set was developed. In the process, a fine geometric correction based on orbit parameters and ground control points and radiometric correction based on 6S code are applied. Presently, by using AVHRR image data received at Tokyo, Okinawa, Ulaanbaatar and Bangkok, data set of 10 days composite images covering almost whole Asian region.

  • PDF

Spiral Drawing-based Real-time Crystallization Mosaic Tchnique (나선 드로잉 기반 실시간 결정화 모자이크 기법)

  • Kim, Jae Kyoung;Kim, Young Ho;Park, Jin Wan
    • Journal of the Korean Society for Computer Game
    • /
    • v.31 no.4
    • /
    • pp.137-144
    • /
    • 2018
  • In the past, mosaics were made by laying cloth on the floor and manually tiling the tiles. However, due to recent developments in technology, the data storage method has evolved from analog to digital, so that image representation and conversion can be realized through computer. Also, various expression techniques of mosaic are developed, and it is also used as a method of art representation in digital. There are various studies on the production process of mosaic. The proposed method is a crystallization mosaic that spreads spirally in real time and uses 3D quartz as a tile element. Although existing researches are mostly focused on the purpose of rendering images in more detail, this technique combines untried spiral drawing and crystallization, and attempts to explore new expression techniques in 3D space by attempting a new mosaic method in 3D space. 'Spiral Crystallization Photo', based on this technique, was selected as Top27 in MWU Award 18 and exhibited at Unite Seoul 2018.