• Title/Summary/Keyword: 영상 이미지

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Improvement of concrete crack detection using Dilated U-Net based image inpainting technique (Dilated U-Net에 기반한 이미지 복원 기법을 이용한 콘크리트 균열 탐지 개선 방안)

  • Kim, Su-Min;Sohn, Jung-Mo;Kim, Do-Soo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.65-68
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    • 2021
  • 본 연구에서는 Dilated U-Net 기반의 이미지 복원기법을 통해 콘크리트 균열 추출 성능 개선 방안을 제안한다. 콘크리트 균열은 구조물의 미관상의 문제뿐 아니라 추후 큰 안전사고의 원인이 될 수 있어 초기대응이 중요하다. 현재는 점검자가 직접 육안으로 검사하는 외관 검사법이 주로 사용되고 있지만, 이는 정확성 및 비용, 시간, 그리고 안전성 면에서 한계를 갖고 있다. 이에 콘크리트 구조물 표면에 대해 획득한 영상 처리 기법을 사용한 검사 방식 도입의 관심이 늘어나고 있다. 또한, 딥러닝 기술의 발달로 딥러닝을 적용한 영상처리의 연구 역시 활발하게 진행되고 있다. 본 연구는 콘크리트 균열 추개선출 성능 개선을 위해 Dilated U-Net 기반의 이미지 복원기법을 적용하는 방안을 제안하였고 성능 검증 결과, 기존 U-Net 기반의 정확도가 98.78%, 조화평균 82.67%였던 것에 비해 정확도 99.199%, 조화평균 88.722%로 성능이 되었음을 확인하였다.

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Comparative analysis by pressure ulcer image size using Xception modeling (Xception 모델링을 이용한 욕창이미지 크기별 비교분석)

  • Jin-beom Seo;Ha-na Yoo;Young-bok Cho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.19-20
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    • 2023
  • 전이학습은 영상 분류를 진행한 모델을 사용하여 다른 종류의 영상 분류에 적용하여 문제를 푸는 것을 의미하며, 모델 설계부터 진행한 학습 모델보다 빠른 속도와 높은 정확도를 달성할 수 있다. 또한, 적은 데이터셋에 대하여 학습을 진행하여 좋은 결과를 도출할 수 있는 장점이 존재한다. 본 논문에서는 전이학습으로 사용되는 모델 중 Xception 모델을 사용하며, 욕창 이미지의 모델 입력 크기를 256, 512, 1024의 크기로 설정하여 학습을 진행 후 욕창 이미지 크기별 성능을 비교분석을 진행하고자 한다.

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Grid-based Medical Image Data Management using Web Services (웹 서비스를 이용한 그리드 기반의 의료 영상 데이터 관리)

  • Jae-Soon Kim;Bong-Hwan Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.1095-1098
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    • 2008
  • 최근 디지털 의료영상 자료들이 급격히 증가하고 의학과 임상에서 많은 병원과 기관 사이의 협업연구가 증가함에 따라 지리적으로 분산된 외부 기관과의 원격 데이터 공유 및 원격의 데이터 접근이 필요하게 되었다. 의료 장비 사이의 데이터 교환을 위한 DICOM은 외부 기관의 방화벽으로부터 의료 이미지 데이터 접근을 지원하는 보안 방법과 전송 속도 문제로 인해 협업 환경에 적합하지 않으며, 의료 이미지 데이터 관리 기능을 제공하지 못한다. 본 논문에서는 그리드 기반의 협업 환경을 제안하고 웹 서비스를 이용한 그리드 데이터 관리 기능을 구현하여 의료 분야의 PACS 통합과 의료 이미지 데이터 교환 문제를 해결하였다.

Classification for landfast sea ice types in Greenland with texture analysis images (텍스쳐 이미지를 이용한 그린란드 정착빙의 분류)

  • Hwang, Do-Hyun;Hwang, Byong-Jun;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.4
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    • pp.589-593
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    • 2013
  • Remote sensing of SAR images is suitable for sea ice observations to obtain the sea ice data if clouds or weather conditions change. There are various types of sea ice, classification results can be seen more easily to detect the change by types of sea ice. In this study, we classified the image by supervised classification method, which is minimum distance was used. Also, we compared the overall accuracy when compared to the results with classification result of SAR images and the result of texture images. When using Radarsat-2 texture images, the overall accuracy was the highest, generally, when using the SAR images had higher overall accuracy.

Categorizing Web Image Search Results Using Emotional Concepts (감성 개념을 이용한 웹 이미지 검색 결과 분류)

  • Kim, Young-Rae;Kwon, Kyung-Su;Shin, Yun-Hee;Kim, Eun-Yi
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.562-566
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    • 2009
  • In this paper, we present a novel system to categorize web image search results using emotional concepts and to browse the results more conveniently and easily. The proposed system can categorize search results into 8 emotional categories based on emotion vector, which obtained by color and pattern features. Here, we use Kobayashi’s emotional categories: {romantic, natural, casual, elegant, chic, classic, dandy and modern}. With search results for a given query, the proposed system can provide categorized images for each emotional category. With 1,000 Yahoo! search images, we compared the proposed method with Yahoo! image search engine in respect of satisfaction, efficiency, convenience and relevance with a user study. Our experimental results show the effectiveness of the proposed method.

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Design and Implementation of the Feature Information Parsing System for Video Image (동영상 이미지의 특징정보 분석 시스템 설계 및 구현)

  • 최내원;지정규
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.3
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    • pp.1-8
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    • 2002
  • Due to the fast development in computer application technologies, a video is now being more widely used than ever in many areas. The current information analyzing systems are basically built to process text-based data. Thus, it has little bits Problems when it needs to correctly represent the ambiguity of a video, when it has to process a large amount of comments. or when it lacks the objectivity that the jobs require. We would like to purpose the method that is capable of analyze a large amount of video efficiently. To extract the color, we translate the color from RGB to HSI and use the information that matches with the representative colors. To extract the shape information, we use improved moment invariants(IMI) so that we can solve many problems of histogram intersection.

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A Study on Unmanned Image Tracking System based on Smart Phone (스마트폰 기반의 무인 영상 추적 시스템 연구)

  • Ahn, Byeong-tae
    • Journal of Convergence for Information Technology
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    • v.9 no.3
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    • pp.30-35
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    • 2019
  • An unattended recording system based on smartphone based image image tracking is rapidly developing. Among the existing products, a system that automatically tracks and rotates the object to be photographed using an infrared signal is very expensive for general users. Therefore, this paper proposes a mobile unattended recording system that enables automatic recording by anyone who uses a smartphone. The system consists of a commercial mobile camera, a servomotor that moves the camera from side to side, a microcontroller to control the motor, and a commercial wireless Bluetooth Earset for video audio input. In this paper, we designed a system that enables unattended recording through image tracking using smartphone.

Improved Image Retrieval Method using Color and Texture Feature Extraction (컬러 및 질감 특징 추출을 이용한 향상된 이미지 검색 기법)

  • Park, Sunghyun;Shin, In-Kyoung;Ahn, Hyochang;Lee, Yong-Hwan;Cho, Han-Jin;Lee, June-Hwan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1563-1566
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    • 2013
  • 최근 네트워크와 멀티미디어 관련 기술의 발달로 이미지 및 동영상과 같은 대용량 멀티미디어 데이터가 증가하고 있다. 이에 따라 대용량의 데이터에서 영상 정보의 효율적인 검색 방법이 요구 되고 있다. 하지만 기존의 전통적인 색인기술은 관리자가 영상을 직접 보면서 적절한 텍스트 내용을 입력하는 방법으로 시간이 많이 소요되며, 관리자의 성향에 따라 색인어의 입력이 다를 수 있어 검색시 오류를 발생시킬 수 있다. 따라서 본 논문에서는 영상으로부터 컬러 특징과 질감 특징을 추출하여 보다 효율적으로 내용 기반 영상 검색을 수행하는 방법을 제안한다. 실험을 통하여 다른 기존의 영상 검색 방법보다 검색 효율성에서 안정적이며 보다 나은 결과를 얻음을 확인한다.

Image Watermarking for Copyright Protection of Images on Shopping Mall (쇼핑몰 이미지 저작권보호를 위한 영상 워터마킹)

  • Bae, Kyoung-Yul
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.147-157
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    • 2013
  • With the advent of the digital environment that can be accessed anytime, anywhere with the introduction of high-speed network, the free distribution and use of digital content were made possible. Ironically this environment is raising a variety of copyright infringement, and product images used in the online shopping mall are pirated frequently. There are many controversial issues whether shopping mall images are creative works or not. According to Supreme Court's decision in 2001, to ad pictures taken with ham products is simply a clone of the appearance of objects to deliver nothing but the decision was not only creative expression. But for the photographer's losses recognized in the advertising photo shoot takes the typical cost was estimated damages. According to Seoul District Court precedents in 2003, if there are the photographer's personality and creativity in the selection of the subject, the composition of the set, the direction and amount of light control, set the angle of the camera, shutter speed, shutter chance, other shooting methods for capturing, developing and printing process, the works should be protected by copyright law by the Court's sentence. In order to receive copyright protection of the shopping mall images by the law, it is simply not to convey the status of the product, the photographer's personality and creativity can be recognized that it requires effort. Accordingly, the cost of making the mall image increases, and the necessity for copyright protection becomes higher. The product images of the online shopping mall have a very unique configuration unlike the general pictures such as portraits and landscape photos and, therefore, the general image watermarking technique can not satisfy the requirements of the image watermarking. Because background of product images commonly used in shopping malls is white or black, or gray scale (gradient) color, it is difficult to utilize the space to embed a watermark and the area is very sensitive even a slight change. In this paper, the characteristics of images used in shopping malls are analyzed and a watermarking technology which is suitable to the shopping mall images is proposed. The proposed image watermarking technology divide a product image into smaller blocks, and the corresponding blocks are transformed by DCT (Discrete Cosine Transform), and then the watermark information was inserted into images using quantization of DCT coefficients. Because uniform treatment of the DCT coefficients for quantization cause visual blocking artifacts, the proposed algorithm used weighted mask which quantizes finely the coefficients located block boundaries and coarsely the coefficients located center area of the block. This mask improves subjective visual quality as well as the objective quality of the images. In addition, in order to improve the safety of the algorithm, the blocks which is embedded the watermark are randomly selected and the turbo code is used to reduce the BER when extracting the watermark. The PSNR(Peak Signal to Noise Ratio) of the shopping mall image watermarked by the proposed algorithm is 40.7~48.5[dB] and BER(Bit Error Rate) after JPEG with QF = 70 is 0. This means the watermarked image is high quality and the algorithm is robust to JPEG compression that is used generally at the online shopping malls. Also, for 40% change in size and 40 degrees of rotation, the BER is 0. In general, the shopping malls are used compressed images with QF which is higher than 90. Because the pirated image is used to replicate from original image, the proposed algorithm can identify the copyright infringement in the most cases. As shown the experimental results, the proposed algorithm is suitable to the shopping mall images with simple background. However, the future study should be carried out to enhance the robustness of the proposed algorithm because the robustness loss is occurred after mask process.

Binary and Halftone Image Data Hiding Technique using Run-Length (RLE를 이용한 이진 이미지 및 하프톤 영상에 데이터 은폐 기술)

  • Kim, Cheon-Shik;Hong, You-Sik;Han, Chang-Pyoung;Oh, Seon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.3
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    • pp.37-43
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    • 2009
  • In this paper, we proposed that a novel method base on a binary image that technique is proposed for data hiding into binary images and halftone image. A binary image is bitmap image and halftone is composed by two-tone value in a limited region in an image. For this reason, it is not easy to hide messages in binary images. PWLC is a new method to hide a message in binary images. However, it yields images of unacceptable quality, unless you should change very few of it. Therefore, in order to solve this problem, we used run-length method into binary images. That is, we find a proper region to hide messages. In this paper, we proposed new method to hide messages in binary images. In addition, we proved that our algorithm is better than PWLC through the experiment.

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