• 제목/요약/키워드: Image convergence

검색결과 2,744건 처리시간 0.031초

Evaluation of absorbed dose in monkey and mouse using 18F-FDG PET and CT density information

  • Kim, Wook;Lee, Yong Jin;Park, Yong Sung;Cho, Doo-Wan;Lee, Hong-Soo;Han, Su-Cheol;Kang, Joo Hyun;Woo, Sang-Keun
    • 대한방사성의약품학회지
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    • 제3권1호
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    • pp.18-24
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    • 2017
  • Patient-specific image-based internal dosimetry involves using the patient's individual anatomy and spatial distribution of radioactivity over time to obtain an absorbed dose calculation. Individual absorbed dose was calculated by accumulated activity multiply S-value of each organs. The aim of this study was to calculate the S-values using Monte Carlo simulation in monkey and mouse and evaluation of absorbed dose in each organ. Self-irradiation S-value of monkey heart self-irradiation was 3.15E-03 mGy-g/MBq-s, lung self-irradiation was 8.94E-04 mGy-g/MBq-s and liver self-irradiation S-value was 2.23E-03 mGy-g/MBq-s. Mouse heart self-irradiation S-value was 1.95E-01 mGy-g/MBq-s, lung was 9.59E-02 mGy-g/MBq-s, and liver was 1.40E-03 mGy-g/MBq-s. The results of this study show that the calculation protocol of image based individual absorbed dose of each organ using Monte Carlo simulation. Therefore, this study may be applied to calculate human specific absorbed dose.

Measuring abutment convergence angles using stereovision dental image processing system

  • Yang, Hong-Seok;Park, Ji-Man;Han, Jung-Suk;Lee, Jai-Bong;Kim, Sung-Hun;Yeo, In-Sung
    • The Journal of Advanced Prosthodontics
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    • 제6권4호
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    • pp.259-265
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    • 2014
  • PURPOSE. The purpose of this study was to develop a dental image processing system using a three-dimensional (3D) camera and stereovision technology. The reliability of the system for measuring axial wall convergence angles was evaluated. MATERIALS AND METHODS. The new system predicted 3D coordinate points from 2D images and calculated distances and angles between points. Two examiners measured axial wall convergence angles for seven artificial abutments using a traditional tracing-based method (TBM) and the stereovision-based method (SVBM). Five wax abutment models of simplified abutment forms were made and axial wall convergence angles of wax models were measured by both methods. The data were statistically analyzed at the level of significance, 0.05. RESULTS. Intraclass correlation coefficients showed excellent intra-examiner and inter-examiner reliabilities for both methods. Bland-Altman plots and paired t-tests showed significant differences between measurements and true values using TBM; differences were not significant with SVBM. CONCLUSION. This study found that the SVBM reflected true angle values more accurately than a TMB and illustrated an example of 3D computer science applied to clinical dentistry.

인터랙티브 미디어 플랫폼 콕스에 제공될 4가지 얼굴 변형 기술의 비교분석 (Comparison Analysis of Four Face Swapping Models for Interactive Media Platform COX)

  • 전호범;고현관;이선경;송복득;김채규;권기룡
    • 한국멀티미디어학회논문지
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    • 제22권5호
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    • pp.535-546
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    • 2019
  • Recently, there have been a lot of researches on the whole face replacement system, but it is not easy to obtain stable results due to various attitudes, angles and facial diversity. To produce a natural synthesis result when replacing the face shown in the video image, technologies such as face area detection, feature extraction, face alignment, face area segmentation, 3D attitude adjustment and facial transposition should all operate at a precise level. And each technology must be able to be interdependently combined. The results of our analysis show that the difficulty of implementing the technology and contribution to the system in facial replacement technology has increased in facial feature point extraction and facial alignment technology. On the other hand, the difficulty of the facial transposition technique and the three-dimensional posture adjustment technique were low, but showed the need for development. In this paper, we propose four facial replacement models such as 2-D Faceswap, OpenPose, Deekfake, and Cycle GAN, which are suitable for the Cox platform. These models have the following features; i.e. these models include a suitable model for front face pose image conversion, face pose image with active body movement, and face movement with right and left side by 15 degrees, Generative Adversarial Network.

금속 내부의 이물질 검출 향상을 위한 X-ray 영상 보정 모델 (X-ray Image Correction Model for Enhanced Foreign Body Detection in Metals)

  • 김원
    • 한국융합학회논문지
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    • 제10권10호
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    • pp.15-21
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    • 2019
  • 자외선보다 파장이 짧은 X-선은 투과력이 매우 좋아 산업 분야 및 의료분야에 융합되어 많이 사용되고 있다. 특히 산업분야에서는 비파괴 검사 장비인 x-ray를 이용하여 금속과 같은 제품의 생산 과정에서 발생할 수 있는 금속 내부의 이물질에 검출에 대한 연구가 다양하게 이루어지고 있는 실정이다. X-ray 영상 이미지를 디지털 방식으로 획득하는 DR(Digital Radiography) 방사선 촬영 방식의 확산으로 디텍터의 사용이 활발해지고 있으나 내부의 센서 잡음 및 감도에 따라 이물질 검출이 불가능한 경우도 발생하고 있다. 금속 제품을 생산할 경우 이물질의 혼입으로 생산 제품의 불량률이 높아질 수 있기에 정확한 검출이 필요하다. 이에 본 논문에서는 금속 내부의 이물질과 같은 결함 검출의 효율을 향상시키기 위하여 획득한 X-ray 이미지의 보정 모델을 제안한다. 제안 모델을 통하여 금속 제품 생산 공정의 불량 검출에 적용하면 제품 결함의 검출을 정확하고 신속하게 처리할 수 있을 것으로 기대된다.

CNN 기반 전이학습을 이용한 뼈 전이가 존재하는 뼈 스캔 영상 분류 (Classification of Whole Body Bone Scan Image with Bone Metastasis using CNN-based Transfer Learning)

  • 임지영;도탄콩;김수형;이귀상;이민희;민정준;범희승;김현식;강세령;양형정
    • 한국멀티미디어학회논문지
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    • 제25권8호
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    • pp.1224-1232
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    • 2022
  • Whole body bone scan is the most frequently performed nuclear medicine imaging to evaluate bone metastasis in cancer patients. We evaluated the performance of a VGG16-based transfer learning classifier for bone scan images in which metastatic bone lesion was present. A total of 1,000 bone scans in 1,000 cancer patients (500 patients with bone metastasis, 500 patients without bone metastasis) were evaluated. Bone scans were labeled with abnormal/normal for bone metastasis using medical reports and image review. Subsequently, gradient-weighted class activation maps (Grad-CAMs) were generated for explainable AI. The proposed model showed AUROC 0.96 and F1-Score 0.90, indicating that it outperforms to VGG16, ResNet50, Xception, DenseNet121 and InceptionV3. Grad-CAM visualized that the proposed model focuses on hot uptakes, which are indicating active bone lesions, for classification of whole body bone scan images with bone metastases.

Content Based Image Retrieval Based on A Novel Image Block Technique Combining Color and Edge Features

  • Kwon, Goo-Rak;Haoming, Zou;Park, Sei-Seung
    • Journal of information and communication convergence engineering
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    • 제8권2호
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    • pp.185-190
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    • 2010
  • In this paper we propose the CBIR algorithm which is based on a novel image block method that combined both color and edge feature. The main drawback of global histogram representation is dependent of the color without spatial or shape information, a new image block method that divided the image to 8 related blocks which contained more information of the image is utilized to extract image feature. Based on these 8 blocks, histogram equalization and edge detection techniques are also used for image retrieval. The experimental results show that the proposed image block method has better ability of characterizing the image contents than traditional block method and can perform the retrieval system efficiently.

Image Path Searching using Auto and Cross Correlations

  • Kim, Young-Bin;Ryu, Kwang-Ryol
    • Journal of information and communication convergence engineering
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    • 제9권6호
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    • pp.747-752
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    • 2011
  • The position detection of overlapping area in the interframe for image stitching using auto and cross correlation function (ACCF) and compounding one image with the stitching algorithm is presented in this paper. ACCF is used by autocorrelation to the featured area to extract the filter mask in the reference (previous) image and the comparing (current) image is used by crosscorrelation. The stitching is detected by the position of high correlation, and aligns and stitches the image in shifting the current image based on the moving vector. The ACCF technique results in a few computations and simplicity because the filter mask is given by the featuring block, and the position is enabled to detect a bit movement. Input image captured from CMOS is used to be compared with the performance between the ACCF and the window correlation. The results of ACCF show that there is no seam and distortion at the joint parts in the stitched image, and the detection performance of the moving vector is improved to 12% in comparison with the window correlation method.

Metadata Processing Technique for Similar Image Search of Mobile Platform

  • Seo, Jung-Hee
    • Journal of information and communication convergence engineering
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    • 제19권1호
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    • pp.36-41
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    • 2021
  • Text-based image retrieval is not only cumbersome as it requires the manual input of keywords by the user, but is also limited in the semantic approach of keywords. However, content-based image retrieval enables visual processing by a computer to solve the problems of text retrieval more fundamentally. Vision applications such as extraction and mapping of image characteristics, require the processing of a large amount of data in a mobile environment, rendering efficient power consumption difficult. Hence, an effective image retrieval method on mobile platforms is proposed herein. To provide the visual meaning of keywords to be inserted into images, the efficiency of image retrieval is improved by extracting keywords of exchangeable image file format metadata from images retrieved through a content-based similar image retrieval method and then adding automatic keywords to images captured on mobile devices. Additionally, users can manually add or modify keywords to the image metadata.

Signal Generation for Automatic Control of a Monitoring Camera

  • Kim, Jin-Tae;Oh, Jeong-Su
    • Journal of information and communication convergence engineering
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    • 제7권4호
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    • pp.551-555
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    • 2009
  • This paper proposes a signal generation method for automatic control of a monitoring camera. Using the control signal, the monitoring camera can track a moving object and keep it near the image center for a longer time. The proposed method is estimated in the experiments that automatically move a maker located at the specified position to the image center.

Center Position Tracking Enhancement of Eyes and Iris on the Facial Image

  • Chai Duck-hyun;Ryu Kwang-ryol
    • Journal of information and communication convergence engineering
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    • 제3권2호
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    • pp.110-113
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    • 2005
  • An enhancement of tracking capacity for the centering position of eye and iris on the facial image is presented. A facial image is acquisitioned with a CCD camera to be converted into a binary image. The eye region to be a specified brightness and shapes is used the FRM method using the neighboring five mask areas, and the iris on the eye is tracked with FPDP method. The experimental result shows that the proposed methods lead the centering position tracking capability to be enhanced than the pixel average coordinate values method.