• Title/Summary/Keyword: Sign Image

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Segmentation and Recognition of Traffic Signs using Shape Information and Edge Image in Real Image (실영상에서 형태 정보와 에지 영상을 이용한 교통 표지판 영역 추출과 인식)

  • Kwak, Hyun-Wook;Oh,Jun-Taek;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
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    • v.11B no.2
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    • pp.149-158
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    • 2004
  • This study proposes a method for segmentation and recognition of traffic signs using shape information and edge image in real image. It first segments traffic sign candidate regions by connected component algorithm from binary images, obtained by utilizing the RGB color ratio of each pixel in the image, and then extracts actual traffic signs based on their symmetries on X- and Y-axes. Histogram equalization is performed for unsegmented candidate regions caused by low contrast in the image. In the recognition stage, it utilizes shape information including projection profiles on X- and Y-axes, moment, and the number of crossings and distance which concentric circular patterns and 8-directional rays from region center intersects with edges of traffic signs. It finally performs recognition by measuring similarity with the templates in the database. It will be shown from several experimental results that the system is robust to environmental factors, such as light and weather condition.

Automated Breast Ultrasound: Interobserver Agreement, Diagnostic Value, and Associated Clinical Factors of Coronal-Plane Image Features

  • Guoxue Tang;Xin An;Huiling Xiang;Lixian Liu;Anhua Li;Xi Lin
    • Korean Journal of Radiology
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    • v.21 no.5
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    • pp.550-560
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    • 2020
  • Objective: To evaluate the interobserver agreement, diagnostic value, and associated clinical factors of automated breast ultrasound (ABUS) coronal features in differentiating breast lesions. Materials and Methods: This study enrolled 457 pathologically confirmed lesions in 387 female (age, 46.4 ± 10.3 years), including 377 masses and 80 non-mass lesions (NMLs). The unique coronal features, including retraction phenomenon, hyper- or hypoechoic rim (continuous or discontinuous), skipping sign, and white wall sign, were defined and recorded. The interobserver agreement on image type and coronal features was evaluated. Furthermore, clinical factors, including the lesion size, distance to the nipple or skin, palpability, and the histological grade were analyzed. Results: Among the 457 lesions, 296 were malignant and 161 were benign. The overall interobserver agreement for image type and all coronal features was moderate to good. For masses, the retraction phenomenon was significantly associated with malignancies (p < 0.001) and more frequently presented in small and superficial invasive carcinomas with a low histological grade (p = 0.027, 0.002, and < 0.001, respectively). Furthermore, continuous hyper- or hypoechoic rims were predictive of benign masses (p < 0.001), whereas discontinuous rims were predictive of malignancies (p < 0.001). A hyperechoic rim was more commonly detected in masses more distant from the nipple (p = 0.027), and a hypoechoic rim was more frequently found in large superficial masses (p < 0.001 for both). For NMLs, the skipping sign was a predictor of malignancies (p = 0.040). Conclusion: The coronal plane of ABUS may provide useful diagnostic value for breast lesions.

A study on hand gesture recognition using 3D hand feature (3차원 손 특징을 이용한 손 동작 인식에 관한 연구)

  • Bae Cheol-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.4
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    • pp.674-679
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    • 2006
  • In this paper a gesture recognition system using 3D feature data is described. The system relies on a novel 3D sensor that generates a dense range mage of the scene. The main novelty of the proposed system, with respect to other 3D gesture recognition techniques, is the capability for robust recognition of complex hand postures such as those encountered in sign language alphabets. This is achieved by explicitly employing 3D hand features. Moreover, the proposed approach does not rely on colour information, and guarantees robust segmentation of the hand under various illumination conditions, and content of the scene. Several novel 3D image analysis algorithms are presented covering the complete processing chain: 3D image acquisition, arm segmentation, hand -forearm segmentation, hand pose estimation, 3D feature extraction, and gesture classification. The proposed system is tested in an application scenario involving the recognition of sign-language postures.

Improvement of Set Partitioning Sorting Algorithm for Image Compression in Embedded System (임베디드 시스템의 영상압축을 위한 분할정렬 알고리즘의 개선)

  • Kim, Jin-Man;Ju, Dong-Hyun;Kim, Doo-Young
    • Journal of the Institute of Convergence Signal Processing
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    • v.6 no.3
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    • pp.107-111
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    • 2005
  • With the increasing use of multimedia technologies, image compression requires higher performance as well as new functionality in the informationized society. Specially, in the specific area of still image encoding in embedded system, a new standard, JPEG2000 that improve various problem of JPEG was developed. This paper proposed a method that reduce quantity of data delivered in EBCOT(Embedded Block Coding with Optimized Truncation) process using SPIHT(Set Partitioning in Hierarchical Trees) Algorithm to optimize selection of threshold from feature of wavelet transform coefficients and to remove sign bit in LL area for the increment of compression efficiency on JPEG2000. The experimental results showed the proposed algorithm achieves more improved bit rate in embedded system.

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Human hand gesture identification framework using SIFT and knowledge-level technique

  • Muhammad Haroon;Saud Altaf;Zia-ur- Rehman;Muhammad Waseem Soomro;Sofia Iqbal
    • ETRI Journal
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    • v.45 no.6
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    • pp.1022-1034
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    • 2023
  • In this study, the impact of varying lighting conditions on recognition and decision-making was considered. The luminosity approach was presented to increase gesture recognition performance under varied lighting. An efficient framework was proposed for sensor-based sign language gesture identification, including picture acquisition, preparing data, obtaining features, and recognition. The depth images were collected using multiple Microsoft Kinect devices, and data were acquired by varying resolutions to demonstrate the idea. A case study was designed to attain acceptable accuracy in gesture recognition under variant lighting. Using American Sign Language (ASL), the dataset was created and analyzed under various lighting conditions. In ASL-based images, significant feature points were selected using the scale-invariant feature transformation (SIFT). Finally, an artificial neural network (ANN) classified hand gestures using specified characteristics for validation. The suggested method was successful across a variety of illumination conditions and different image sizes. The total effectiveness of NN architecture was shown by the 97.6% recognition accuracy rate of 26 alphabets dataset with just a 2.4% error rate.

The Development of Vital Sign Web Viewer Systems using HL7 Protocol (HL7 프로토콜을 이용한 생체정보 웹 뷰어 시스템 개발)

  • Lim, Se-Jung;Kang, Ki-Woong;Seo, Jong-Joo;Kim, Gwang-Jun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.3 no.2
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    • pp.112-117
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    • 2008
  • HL7 is well-Known standard protocol for text data generated in hospital information systems. Vital sign information web viewer systems is also the standard protocol for medical image and transfer. In order to embrace new technologies as telemedicine service, it is important to develope the standard protocol between different systems in the hospital, as well as the communication with external hospital systems. In this paper, we proposed integration method between vital sign web viewr systems and hospital information systems. Through the proper data exchange and modification of information management, HIS will offer better work flow to all hospital employee.

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Recognition of Traffic Signs using Wavelet Transform and Shape Information (웨이블릿 변환과 형태 정보를 이용한 교통 표지판 인식)

  • 오준택;곽현욱;김욱현
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.5
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    • pp.125-134
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    • 2004
  • This paper proposes a method for recognition of traffic signs using wavelet transform and shape information from the segmented traffic sign regions. It first segments traffic sign candidate regions by connected component algorithm from binary images, obtained by utilizing the RGB color ratio of each pixel in the image, and then extracts actual traffic sign regions based on their symmetries on X- and Y-axes. In the recognition stage, it utilizes shape information including moment edge correlogram and the number of crossings which concentric circular patterns from region center intersects with frequency information extracted by wavelet transform It finally performs recognition by measuring similarity with the templates in the database. The experimental results show the validity of the proposed method from geometric transformations and environmental factors.

A study on the Semiotic about 3D animation (3D애니메이션 <슈렉2>에 관한 기호학적 연구)

  • Jung, Joo-Youne
    • Archives of design research
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    • v.17 no.4
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    • pp.327-336
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    • 2004
  • The cultural production of meanings is becoming more and laden with the intricacies of signs and symbols in our times. The idea of 'character' is important as an intermediation for information and an essential characteristic of "the object" experienced through the sence of sight. Character is symbolicin its form but also in its iconic markings. Motion Picture Animation makes Character not just an expression of an image but visual communication that expands the action of meaning piled up, sign upon sign. The analysis of 'character' suggests that motion picture animated characters could play an important role as a cultural mode leading to new styles not merely as an aesthetic mechanism. The study there with analyzed animated character systematically to discem where the sign phenomena shows up in social conventions under the semiotic rigor of Peirce's concepts of icon, index, and symbol.

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A Design of LED Video Processor Board using Embedded System (임베디드 시스템을 이용한 LED 비디오 프로세서 설계)

  • Lee, Jong-Ha;Ko, Duck-Young
    • 전자공학회논문지 IE
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    • v.47 no.3
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    • pp.1-6
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    • 2010
  • In this paper, it is designed a processor using embedded system so that moving picture can be expressed on LED electric sign board which has been expressed a simple message only like as a character or graphic. It has been fabricated a moving picture LED electric sign board which is composed to a video processor and LED display panel, in order to be able to express a digital moving picture of 24 bits that is transmitted from embedded system. It includes gamma adjustment, brightness, color contrast control, a schedule function, expression image conversion by the Internet and memory device. Also, an application program based Windows CE is designed so that a character, graphic, and moving picture can be expressed on a small LED electric sign board.

The Development of Vital Sign Web Viewer Systems using HL7 Protocol (HL7 프로토콜을 이용한 생체정보 웹 뷰어 시스템 개발)

  • Lim, Se-Jung;Kang, Ki-Woong;Seo, Jong-Joo;Kim, Gwang-Jun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.2 no.2
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    • pp.123-128
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    • 2007
  • HL7 is well-Known standard protocol for text data generated in hospital information systems. Vital sign information web viewer systems is also the standard protocol for medical image and transfer. In order to embrace new technologies as telemedicine service, it is important to develope the standard protocol between different systems in the hospital, as well as the communication with external hospital systems. In this paper, we proposed integration method between vital sign web viewr systems and hospital information systems. Through the proper data exchange and modification of information management, HIS will offer better workflow to all hospital employee.

  • PDF