• Title/Summary/Keyword: 작업 영역 구분

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Warping using for Efficiency Face Recognition (워핑 기법을 적용한 효율적인 얼굴 인식)

  • Jung, Won-Gu;Rhee, Pil-Kyu
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.832-834
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    • 2005
  • 본 논문에서는 여러 가지 표정으로 입력되어지는 얼굴 이미지를 효율적으로 인식시키는 작업을 수행하는 방법에 대한 내용을 소개하고 있다. 각 얼굴 이미지들은 상황에 따라 많은 표정에 영향 성분을 포함하고 있다. 이런 각기 특성이 다른 얼굴 이미지들의 효율적인 인식을 위하여, 특징 점을 선정을 한 후 실험 진행을 하면 표정에 영향을 많이 받는 이미지를 구분할 수 있다. 여기서 제안하는 방법은 표정이 많이 포함된 이미지에 대하여 표정에 영향을 많이 미치는 특징 점과 그 특징 점영역에 와핑 기법을 처리함으로써 표정이 있는 이미지를 인식하는 방법을 제안한다.

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Automatic Tumor Segmentation Method using Symmetry Analysis and Level Set Algorithm in MR Brain Image (대칭성 분석과 레벨셋을 이용한 자기공명 뇌영상의 자동 종양 영역 분할 방법)

  • Kim, Bo-Ram;Park, Keun-Hye;Kim, Wook-Hyun
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.4
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    • pp.267-273
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    • 2011
  • In this paper, we proposed the method to detect brain tumor region in MR images. Our method is composed of 3 parts, detection of tumor slice, detection of tumor region and tumor boundary detection. In the tumor slice detection step, a slice which contains tumor regions is distinguished using symmetric analysis in 3D brain volume. The tumor region detection step is the process to segment the tumor region in the slice distinguished as a tumor slice. And tumor region is finally detected, using spatial feature and symmetric analysis based on the cluster information. The process for detecting tumor slice and tumor region have advantages which are robust for noise and requires less computational time, using the knowledge of the brain tumor and cluster-based on symmetric analysis. And we use the level set method with fast marching algorithm to detect the tumor boundary. It is performed to find the tumor boundary for all other slices using the initial seeds derived from the previous or later slice until the tumor region is vanished. It requires less computational time because every procedure is not performed for all slices.

Case study of microseismic techniques for stability analysis of pillars in a limestone mine (석회석 광산 내 광주의 안정성 분석을 위한 미소진동 계측기술의 현장적용)

  • Kim, Chang Oh;Um, Woo-Yong;Chung, So-Keul;Cheon, Dae-Sung
    • Tunnel and Underground Space
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    • v.26 no.1
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    • pp.1-11
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    • 2016
  • This study deals with the case that was the field application of the microseismic monitoring techniques for the stability monitoring in a domestic mine. The usefulness and limitations of the microseismic techniques were examined through analyzing the microseismic monitored data. The target limestone mine adopted a hybrid room-and-pillar mining method to improve the extraction ratio. The accelerometers were installed in each vertical pillar within the test bed which has the horizontal cross-section $50m{\times}50m$. The measured signals were divided into 4 types; blasting induced signal, drilling induced signal, damage induced signal, and electric noise. The stability analysis was performed based on the measured damage induced signals. After the blasting in the mining section close to the test bed, the damage of the pillar was increased and rockfall near the test bed could be estimated from monitored microseismic data. It was possible to assess the pillar stability from the changes of daily monitored data and the proposed safety criteria from the accumulated monitored data. However, there was a difficulty to determine the 3D microseismic source positions due to the 2D local sensor arrays. Also, it was needed to use real-time monitoring methods in domestic mines. By complementing the problems encountered in the mine application and comparing microseismic monitored data with mining operations, the microseismic monitoring technique can be used as a better safety method.

Face Detection Using Shapes and Colors in Various Backgrounds

  • Lee, Chang-Hyun;Lee, Hyun-Ji;Lee, Seung-Hyun;Oh, Joon-Taek;Park, Seung-Bo
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.7
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    • pp.19-27
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    • 2021
  • In this paper, we propose a method for detecting characters in images and detecting facial regions, which consists of two tasks. First, we separate two different characters to detect the face position of the characters in the frame. For fast detection, we use You Only Look Once (YOLO), which finds faces in the image in real time, to extract the location of the face and mark them as object detection boxes. Second, we present three image processing methods to detect accurate face area based on object detection boxes. Each method uses HSV values extracted from the region estimated by the detection figure to detect the face region of the characters, and changes the size and shape of the detection figure to compare the accuracy of each method. Each face detection method is compared and analyzed with comparative data and image processing data for reliability verification. As a result, we achieved the highest accuracy of 87% when using the split rectangular method among circular, rectangular, and split rectangular methods.

Mobile App for Detecting Canine Skin Diseases Using U-Net Image Segmentation (U-Net 기반 이미지 분할 및 병변 영역 식별을 활용한 반려견 피부질환 검출 모바일 앱)

  • Bo Kyeong Kim;Jae Yeon Byun;Kyung-Ae Cha
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.4
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    • pp.25-34
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    • 2024
  • This paper presents the development of a mobile application that detects and identifies canine skin diseases by training a deep learning-based U-Net model to infer the presence and location of skin lesions from images. U-Net, primarily used in medical imaging for image segmentation, is effective in distinguishing specific regions of an image in a polygonal form, making it suitable for identifying lesion areas in dogs. In this study, six major canine skin diseases were defined as classes, and the U-Net model was trained to differentiate among them. The model was then implemented in a mobile app, allowing users to perform lesion analysis and prediction through simple camera shots, with the results provided directly to the user. This enables pet owners to monitor the health of their pets and obtain information that aids in early diagnosis. By providing a quick and accurate diagnostic tool for pet health management through deep learning, this study emphasizes the significance of developing an easily accessible service for home use.

An Extraction Method of Number Plates for Various Vehicles Using Digital Signal Analysis Processing Techniques (디지털 신호 분석 기법을 이용한 다양한 번호판 추출 방법)

  • Yang, Sun-Ok;Jun, Young-Min;Jung, Ji-Sang;Ryu, Sang-Hwan
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.3
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    • pp.12-19
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    • 2008
  • Detection of a number plate consists of three stages; division of a number plate, extraction of each character from the plate, recognition of the characters. Among of these three states, division stage of a number plate is the most important part and also the most time-consuming state. This paper suggests an effective region extraction method of a number plate for various images obtained from unmanned inspection systems of illegal parking violation, especially when we have to consider the diverse surrounding environments of roads. Our approaching method detects each region by investigating the characteristics in changes of brightness and intensity between the background part and character part, and the characteristics on character parts such as the sizes, heights, widths, and distance in between two characters. The method also divides a number plate into different types of the plate. This research can solve the number plate region detection failure problems caused by plate edge damages not only for Korean domestic number plates but also for new European style number plates. The method also reduces the time consumption by processing the detection in real-time, therefore, it can be used as a practical solution.

A Preliminary Analysis for the Establishment of a Documentation Strategy of Modern and Contemporary Publishing Cultural Records in Daegu (대구 근현대 출판문화기록 도큐멘테이션 전략 수립을 위한 예비 분석)

  • Inyeong Jeong;Jongwook Lee
    • Journal of Korean Society of Archives and Records Management
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    • v.23 no.1
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    • pp.47-61
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    • 2023
  • This study attempted to present the direction of the documentation strategy to lay the foundation for preserving and using the modern and contemporary publishing culture in Daegu. To this end, the authors applied the phase of the "documentation area definition and preliminary analysis" suggested in Hackman's model. In the preliminary analysis phase, the authors investigated the cases of documentation on specific topics and conducted interviews with those concerned with documenting the publishing culture of Daegu. The findings of interviews were presented by the categories, such as "the value of Daegu's modern and contemporary publishing culture," "the object and method of collection," "documentation group," and "difficulties and limitations." With these findings, the authors proposed the main elements of a documentation strategy and revised it based on the feedback from two archivists. The proposed elements consist of the purpose, temporal, geographical, and morphological ranges, roles by group, reference sources, prior work, and the consideration for collection and operation. The preliminary analysis of this study will serve as a foundation for preserving and transmitting Daegu's publishing culture.

Region Growing Method for Calculating Unmeasured Rate of Aerial LiDAR Data (항공라이다의 결측률 산출을 위한 영역확장 기법)

  • Han, Soung-Man;Kim, Ji-Yong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.1
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    • pp.29-38
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    • 2010
  • The airborne LiDAR which was introduced in the early 2000's provides the point data. The new methods for the verification of LiDAR materials with high accuracy which is different from the existing airborne survey are needed. In accordance with the rules of airborne laser survey which were enacted in 2009, the verifications by three methods of Unmeasured Rate and point accuracy, point density have been executed, and Unmeasured Rate is to evaluate the rate for the presence of points within uniform grids except non-reflective areas such as watershed areas. For the calculation of Unmeasured Rate, non-reflective areas should be removed by all means, and in case of normal LiDAR materials, as there are scant points for watershed areas, watershed areas should be divided by additional spatial information. So, in this study, the watershed areas were extracted using domain extension technique from the high resolution CIR images of 0.3m grade. In addition, in order to compare the accuracy of Unmeasured Rate calculated, the comparative analysis of the Unmeasured Rate calculated by digital maps has been done. In conclusion, we found that 1I1e accuracy of Unmeasured Rate extracted by domain extension technique is similar to the value extracted by digitizing technique.

INHIBITION, PLANNING, AND WORKING MEMORY IN CHILDREN WITH ATTENTION DEFICIT HYPERACTIVITY DISORDER (주의력 결핍 과잉행동 장애 아동의 억제능력, 계획능력, 그리고 작업기억 능력)

  • Kim, Gui-Ae;Kim, Sang-Heop;Hong, Chang-Hee;Lee, Myoung-Ju
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.15 no.1
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    • pp.82-90
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    • 2004
  • Objectives:The study was performed to compare the executive function(EF;Inhibition, Planning and Working memory) between ADHD and normal group, and to controll the effect of age and intelligence. And the function of inhibition was assessed in two dimensions(cognitive inhibition and motor inhibition). Methods:K-WISC III and EF test(Go-No-Go, Stroop test, Tower of Hanoi, Digit) was administered to both 25 children with ADHD and 25 normal control participants, all aged between 7 and 12. The results were analyzed after statistically controlled for age and intelligence. Results:Children in the ADHD group had significantly lower IQ score than those in the control group and consistent relations were found between the child's age and the study's major variables. Once IQ and age were controlled, results indicated that children with ADHD had deficit only cognitive inhibition and motor inhibition. There was no significant difference in planning and working memory. Conclusion:These results suggested that specific deficits in inhibition control rather than general EF deficits are associated with ADHD. So inhibition is the core problem of children with ADHD. Thus, the therapeutic approach focused on cognitive inhibition and motor inhibition is required.

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The Research on Job Analysis of Horse-Riding Instructor (승마지도사에 관한 직무분석 연구)

  • Lee, Byung-Wook;Kang, Kyoung-Kyoon;Yi, Joo-Wook;Lee, In-Kyung
    • Journal of vocational education research
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    • v.33 no.3
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    • pp.145-167
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    • 2014
  • The purpose of this research is to prepare the measures for evaluating the job of horse-riding instructor and improvement related to it and for distributing horse-riding industry effectively. Forsuch, we tried to analyze job of horse-riding instructor. Inparticular, we have developed DACUM chart of horse-riding instructor through DACUM method and experts related to it. As result, we found out eight duties and hundreds of job and arranged seven duty areas in total and eighty-two executed works. In addition, as experts said, the horse-riding instructor is the one who 'instructs people learning horse-riding in horse-riding facility and manages horses, horse-riding equipment and man-power.' Such results provide the procedure of horse-riding instructor cultivation which has been presently underway with many viewpoints. Especially, there are three educational processes and subject materials related to horse-riding instructor's examination(Hipologia, Horse-treatment technique, Horse Health management). However, as result of analysis on duty, we found out that racecourse management and horse-riding education theory has been needed to be added and complemented as well. In addition, the work and duty of analysis can be used to be made use up of as work profile and specification and such data can be also made use of as standard of training and submission. Through this study there should be a necessary work to distinguish between re-drafting and role of duty in its own right related to certification of horse-riding instructor in future and it would be necessary to develop study that is able to connect them all to certificate. What is more, there should be work and measure required for rethinking of utility of certification.