• Title/Summary/Keyword: 컴퓨터 촬영

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Development of Smart Household Ledger based on OCR (OCR 기반 스마트 가계부 구현)

  • Chae, Sung-eun;Jung, Ki-seok;Lee, Jeong-yeol;Rho, Young-J.
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.269-276
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    • 2018
  • OCR(Optical Character Recognition) using computers has been developed for 20 years and applied to various fields such as parking management based on the recognition of license plates of cars. This technology was also used in the development of our smart OCR-based household ledger. In order to improve filling the purchase history into a smartphone based household account book, we can take pictures of receipts with the smarphone camera and automatically organize the purchase list. In this process, the recognition rate of the characters of the receipt image is not high enough with OCR technology. We could improve the rate by applying the image processing technology and adjusting the contrast of the receipt image. The rate improved from 89% to 92.5%.

Development of a Collection System of Bait Links to Social Media on Dark Web to Track Drug Crimes (마약 범죄 추적을 위한 다크웹 상의 소셜미디어 유인 링크 수집체계 개발)

  • Sol-Kyu Park;Jiyeon Kim;Chang-Hoon Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.123-125
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    • 2024
  • 다크웹(Dark Web)은 마약, 불법 촬영물, 해킹, 무기 등 불법 콘텐츠의 공유 및 거래가 이루어지는 인터넷 영역으로서 최근에는 소셜미디어와 연계된 형태로 범죄 양상이 변화하고 있다. 본 논문에서는 최근 국내 외 사회 문제로 대두되고 있는 마약 범죄를 추적하기 위한 다크웹 수사 기술로서 다크웹 사용자를 소셜미디어로 유인하는 마약 정보 수집체계를 개발한다. 먼저 미국 마약단속국에서 공개한 대표적인 마약 용어 3개의 표준어 및 은어를 검색 키워드로 사용하여 마약 관련 다크웹을 수집하고, 수집된 다크웹을 크롤링하여 소셜미디어 계정 링크를 추출한다. 본 논문에서는 다양한 소셜미디어 중, 트위터 및 텔레그램 접속 링크를 수집하였으며 실험 결과, 접속 가능한 총 54개 다크웹 도메인의 9,046개 웹 페이지에서 트위터 유인 링크 567개, 텔레그램 유인 링크 118개를 추출하였다.

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Coronoid view: A New Radiograph for the Evaluation of the Coronoid Fractures (Coronoid view: 구상돌기 골절을 평가하는 새로운 방사선 촬영법)

  • Song, Joo-Hyoun;Lee, Joo-Yup;Yang, Sung-Cheol;Lee, Han-Yong;Kim, Jong-Ik
    • Clinics in Shoulder and Elbow
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    • v.10 no.2
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    • pp.199-203
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    • 2007
  • Purpose: It is very important to evaluate and fix coronoid process fractures because they are a critical element for a stable, effective elbow function. The lateral view of the elbow joint is used for a radiographic evaluation of the coronoid but an understanding of the fracture pattern is often difficult because of overlap of the radial head and obliquity of the fracture line. We developed the coronoid view, which is a new radiograph for an evaluation of the coronoid process fracture, and discuss its advantages for a postoperative follow-up. Materials and Methods: The coronoid view was designed for an evaluation of the anteromedial fragment of the coronoid process. After the patient sat on his side, the shoulder was abducted $45^{\circ}$ and the elbow was flexed $90^{\circ}$. The X-ray beam was shot perpendicular to the table. Since shoulder was abducted $45^{\circ}$ the fracture line of the coronoid process can be parallel to the X-ray beam, and the radial head can be cleared. Conclusion: The coronoid view can be a good alternative radiograph for an evaluation of a coronoid process fracture because the beam is parallel to the fracture line. The coronoid view can be particularly useful in postoperative patient follow-up where computed tomography is impractical due to metal implants and cost.

Development of an Integrated Traffic Object Detection Framework for Traffic Data Collection (교통 데이터 수집을 위한 객체 인식 통합 프레임워크 개발)

  • Yang, Inchul;Jeon, Woo Hoon;Lee, Joyoung;Park, Jihyun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.6
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    • pp.191-201
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    • 2019
  • A fast and accurate integrated traffic object detection framework was proposed and developed, harnessing a computer-vision based deep-learning approach performing automatic object detections, a multi object tracking technology, and video pre-processing tools. The proposed method is capable of detecting traffic object such as autos, buses, trucks and vans from video recordings taken under a various kinds of external conditions such as stability of video, weather conditions, video angles, and counting the objects by tracking them on a real-time basis. By creating plausible experimental scenarios dealing with various conditions that likely affect video quality, it is discovered that the proposed method achieves outstanding performances except for the cases of rain and snow, thereby resulting in 98% ~ 100% of accuracy.

A Study on the Actual Conditions and Characteristics of Mammographic Units in Some Area (일부지역 유방촬영장치의 현황 및 특성에 관한 연구)

  • Park, Jin-Young;Baek, Seong-Min
    • Journal of the Korean Society of Radiology
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    • v.6 no.2
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    • pp.121-127
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    • 2012
  • Of this study, it was found that there were 250 mammographic units in total installed and used in the areas for this study, and 36 units were used in general hospitals, 53 units in hospitals and 116 units in clinics. That is, the units in clinics accounted for 50% out of the whole units. As for the image acquisition method, it was found there were 131 units using F/S, 67 units using CR and 7 units using DR respectively. At present, F/S system was mainly used in the areas. As for the materials of target/filter, it was found that Mo/Mo was mostly used (66%), followed by Mo/Rh (25%). As for the size of focus, both 0.1 mm for small focus and 0.3 mm for large focus were mainly used for the units.

Camera Model Identification Based on Deep Learning (딥러닝 기반 카메라 모델 판별)

  • Lee, Soo Hyeon;Kim, Dong Hyun;Lee, Hae-Yeoun
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.10
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    • pp.411-420
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    • 2019
  • Camera model identification has been a subject of steady study in the field of digital forensics. Among the increasingly sophisticated crimes, crimes such as illegal filming are taking up a high number of crimes because they are hard to detect as cameras become smaller. Therefore, technology that can specify which camera a particular image was taken on could be used as evidence to prove a criminal's suspicion when a criminal denies his or her criminal behavior. This paper proposes a deep learning model to identify the camera model used to acquire the image. The proposed model consists of four convolution layers and two fully connection layers, and a high pass filter is used as a filter for data pre-processing. To verify the performance of the proposed model, Dresden Image Database was used and the dataset was generated by applying the sequential partition method. To show the performance of the proposed model, it is compared with existing studies using 3 layers model or model with GLCM. The proposed model achieves 98% accuracy which is similar to that of the latest technology.

Iatrogenic Iliac Vein Injury Following Extracorporeal Membrane Oxygenation Cannulation in a Patient with May-Thurner Syndrome: A Case Report and Literature Review (May-Thurner 증후군 환자에서 체외막산소공급 삽관 중 발생한 의인성 장골 정맥 손상: 증례 보고 및 문헌고찰)

  • Seok Jin Hong;Sang Min Lee;Jung Ho Won
    • Journal of the Korean Society of Radiology
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    • v.82 no.1
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    • pp.244-249
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    • 2021
  • A 53-year-old woman presented with dyspnea. She had undergone extended thymectomy for an invasive thymoma two months prior. CT revealed numerous small nodules in the lung. After that, she deteriorated owing to acute respiratory distress syndrome (ARDS), and the vascular surgeon planned veno-venous extracorporeal membrane oxygenation (ECMO). During percutaneous cannulation through the left femoral vein, a vascular injury was suspected, and the patient's vital signs became unstable. Diagnostic angiography showed a ruptured left common iliac vein, and the bleeding was stopped by placement of a stent-graft. May-Thurner syndrome was diagnosed on abdominal CT. Here, we report a rare case of ECMO-related vascular injury in a patient with an unrecognized anatomical variant, May-Thurner syndrome.

Renal Cell Carcinoma in a Pekingese Dog (페키니즈견에서 신장세포암종)

  • Lee Ki-chang;Jung Joo-hyun;Byeon Ye-eun;Oh Sun-kyung;Seo Eun-jung;Song Kyung-jin;Kweon Oh-kyeong;Yoon Jung-hee;Choi Min-cheol
    • Journal of Veterinary Clinics
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    • v.22 no.2
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    • pp.148-152
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    • 2005
  • An intact female, 5-year-old, Pekingese, weighing 3.5kg with a history of a palpated abdominal mass was referred to Veterinary Medical Teaching Hospital, Seoul National University. In laboratory examination, there were no remarkable abnormalities. Radiographic findings included a left mid-abdominal mass with ill-defined margin, serosal detail loss of peritoneal space, non-uniform opacity of retroperitoneal space, and a radiopaque cystic calculus. On abdominal ultrasonography, a heterogeneous parenchymal mass with irregular contour in the left renal region was found. Computed tomographic findings showed a tumor embolus within the caudal vena cava and an invasion into mesentery, small bowel loops, spleen and pancreas around the large left renal mass. Unilateral nephroureterectomy was performed. Histopathologic examination of the resected mass confirmed the diagnosis of renal cell carcinoma. The dog died one day after surgery. Although ultrasonography could give diagnostic information about mass characteristics, computed tomography (CT) can provide key imaging features of mass characteristics.

CINEMAPIC : Generative AI-based movie concept photo booth system (시네마픽 : 생성형 AI기반 영화 컨셉 포토부스 시스템)

  • Seokhyun Jeong;Seungkyu Leem;Jungjin Lee
    • Journal of the Korea Computer Graphics Society
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    • v.30 no.3
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    • pp.149-158
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    • 2024
  • Photo booths have traditionally provided a fun and easy way to capture and print photos to cherish memories. These booths allow individuals to capture their desired poses and props, sharing memories with friends and family. To enable diverse expressions, generative AI-powered photo booths have emerged. However, existing AI photo booths face challenges such as difficulty in taking group photos, inability to accurately reflect user's poses, and the challenge of applying different concepts to individual subjects. To tackle these issues, we present CINEMAPIC, a photo booth system that allows users to freely choose poses, positions, and concepts for their photos. The system workflow includes three main steps: pre-processing, generation, and post-processing to apply individualized concepts. To produce high-quality group photos, the system generates a transparent image for each character and enhances the backdrop-composited image through a small number of denoising steps. The workflow is accelerated by applying an optimized diffusion model and GPU parallelization. The system was implemented as a prototype, and its effectiveness was validated through a user study and a large-scale pilot operation involving approximately 400 users. The results showed a significant preference for the proposed system over existing methods, confirming its potential for real-world photo booth applications. The proposed CINEMAPIC photo booth is expected to lead the way in a more creative and differentiated market, with potential for widespread application in various fields.

Comparison Study on Projection and Backprojection Methods for CT Simulation (투사 및 역투사 방법에 따른 컴퓨터단층촬영 영상 비교)

  • Oh, Ohsung;Lee, Seung Wook
    • Journal of radiological science and technology
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    • v.37 no.4
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    • pp.323-330
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    • 2014
  • Image reconstruction is one of the most important processes in CT (Computed tomography) technology. For fast scanning and low dose to the objects, iterative reconstruction is becoming more and more important. In the implementation of iterative reconstruction, projection and backprojection processes are considered to be indispensable parts. However, many approaches for projection and backprojection may result severe image artifacts due to their discrete characteristics and affects the reconstructed image quality. Thus, new approaches for projection and backprojection are highly demanded these days. In this paper, distance-driven approach was evaluated and compared with other conventional methods. The numerical simulator was developed to make the phantoms, and projection and backprojection images were compared using these approaches. As a result, it turned out that there are less artifacts during projection and backprojection in parallel and fan beam geometry.