• Title/Summary/Keyword: 2D 스캔 데이터

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Improvement for Transmission Speed of G3 FAX (G3 팩스 전송속도 성능 향상에 관한 연구)

  • Kim, K.T.;Bae, J.I.;Jo, B.K.;Kim, J.B.
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.3204-3205
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    • 1999
  • G3 팩스가 G1 팩스나 G2 팩스와 구별되는 점은 문서 이미지를 스캔하여 얻은 아날로그 신호(전압)를 디지털 신호로 바꿔주는 A/D 변환과 여기서 얻어진 디지털 신호를 전송을 위해 다시 아날로그 신호(주파수, 위상 진폭)로 바꿔주는 모듈레이션 과정이 중간에 신호를 압축하여 표현하는 코딩 단계가 있다는 것이다. 따라서 G1 팩스나 G2 팩스에 비해 s훨씬 적은 신호를 가지고 문서 이미지를 표현할 수 있으며, 결과적으로 전송속도가 빨라지는 것이 된다. 표준 A4용지는 수평 방향으로 1728개의 픽셀, 수직방향으로 1145라인의 픽셀로 구성된다. 따라서 층 1,978,560($1728{\times}1145$) 비트의 데이터가 A4용지 한 장에 포함될 수 있는 것이다. 팩스가 이런한 표준 A4용지를 스캔하게될 경우 수캔되는 매 라인에는 1728개의 검은색(글자 및 그림) 및 흰색 (여백)픽 셀들이 존재한다. G3 팩스는 서로 다른 Run Length에 비교적 짧은 특정 코드를 미리 할당해 놓고 실제 픽셀들 대신 이러한 코드들을 모듈레이션해서 전송한다. 따라서 전송속도는 단축된다.

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Comparison of the Editing Method of Missing Area in 3D Scanned Image of Men's Crotch (3차원 스캔한 인체 샅부위의 결측부위 복원 방법 비교)

  • Kim, So-Young;Hong, Kyung-Hi
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.3
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    • pp.401-409
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    • 2009
  • The shape of crotch area is very important to develop functional clothing as well as other ergonomic goods such as chair or saddle etc. However, it is inevitable that 3D scanned image of crotch would have missing part due to its folded shape including overlapping legs nearby. Therefore, the objectives of this research was to compare reconstruction methods of missing parts at crotch using seven dummies of real men's replicas. Two reconstruction methods adopted were kinds of 'fill- hole' in Rapidform 2004, one was 'smooth' and the other was 'curvature'. Each restored image was compared with the original shape of the dummies. As results, the average distance was 0.66mm between original and 'smooth' treated images and 0.59mm between original and 'curvature' treated, which was not statistically different. Average area of restored crotch region was $8740.04cm^2$ by 'smooth' method and $8405.02cm^2$ by 'curvature' method which is close to the original area of $8413.76cm^2$. Statistical difference was found between images of original and 'smooth' ones$(p=0.04^*)$. However, there was no difference between original and 'curvature' treated images, which indicates that 'curvature' method is more useful to fill the hole compared with 'smooth' method.

Scan Matching based De-skewing Algorithm for 2D Indoor PCD captured from Mobile Laser Scanning (스캔 매칭 기반 실내 2차원 PCD de-skewing 알고리즘)

  • Kang, Nam-woo;Sa, Se-Won;Ryu, Min Woo;Oh, Sangmin;Lee, Chanwoo;Cho, Hunhee;Park, Insung
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.3
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    • pp.40-51
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    • 2021
  • MLS (Mobile Laser Scanning) which is a scanning method done by moving the LiDAR (Light Detection and Ranging) is widely employed to capture indoor PCD (Point Cloud Data) for floor plan generation in the AEC (Architecture, Engineering, and Construction) industry. The movement and rotation of LiDAR in the scanning phase cause deformation (i.e. skew) of PCD and impose a significant impact on quality of output. Thus, a de-skewing method is required to increase the accuracy of geometric representation. De-skewing methods which use position and pose information of LiDAR collected by IMU (Inertial Measurement Unit) have been mainly developed to refine the PCD. However, the existing methods have limitations on de-skewing PCD without IMU. In this study, a novel algorithm for de-skewing 2D PCD captured from MLS without IMU is presented. The algorithm de-skews PCD using scan matching between points captured from adjacent scan positions. Based on the comparison of the deskewed floor plan with the benchmark derived from TLS (Terrestrial Laser Scanning), the performance of proposed algorithm is verified by reducing the average mismatched area 49.82%. The result of this study shows that the accurate floor plan is generated by the de-skewing algorithm without IMU.

Shoulder Uptake in the Bone Scintigraphy in Patients with Hemiplegic Reflex Sympathetic Dystrophy Syndrome (반신마비성 반사성교감신경 이영양증후군 환자의 골스캔상 견관절 섭취)

  • Lee, Jong-Jin;Chung, June-Key;Lee, Dong-Soo;Hong, Joon-Beom;Han, Tai-Ryoon;Lee, Myung-Chul
    • The Korean Journal of Nuclear Medicine
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    • v.38 no.4
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    • pp.288-293
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    • 2004
  • Purpose: increased uptake of wrist and hand joints in three phase bone scintigraphy (TPBS) have been used in the detection of reflex sympathetic dystrophy syndrome (RSDS). TPBS frequently shows increased shoulder uptake in the hemiplegic RSDS patients. We investigated the significance of the shoulder uptake in the detection of these patients. Materials and Methods: Twenty three patients who had hemiplegia due to brain stroke and diagnosed as RSD were enrolled in this study (M:F=16:7, R:L=11:12). The mean age was $63{\pm}10$ yrs. Ter normal volunteer (mean age: $60{\pm}5$, M:F=1:9) data was used as control group. TPBS was performed $59{\pm}32$ days after stoke (acute stage). We obtained the count ratios of bilateral hands by drawing a region of interest (ROI) in three phase images and compared to the count ratios of shoulders in the delayed image. Hand ROI included an ipsilateral wrist. Sensitivity of detecting the affected limb was defined using the right/left count ratio of normal control. Results: Sensitivities using count ratios of hand blood flow, blood pool and delayed image were 45%, 76% and 78%, respectively. Sensitivity of shoulder count ratio was 74%. Log of right/left counts of hand delayed image and that of shoulder delayed image were correlated well with statistical significance (Spearman's R=0.824, p<0.001). Conclusion: Shoulder uptake showed good correlation with hand uptake in the delayed image of TPBS. Shoulder uptake maybe helpful in the diagnosis of reflex sympathetic dystrophy syndrome in patients with hemiplegia.

Characterization of Deep Learning-Based and Hybrid Iterative Reconstruction for Image Quality Optimization at Computer Tomography Angiography (전산화단층촬영조영술에서 화질 최적화를 위한 딥러닝 기반 및 하이브리드 반복 재구성의 특성분석)

  • Pil-Hyun, Jeon;Chang-Lae, Lee
    • Journal of the Korean Society of Radiology
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    • v.17 no.1
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    • pp.1-9
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    • 2023
  • For optimal image quality of computer tomography angiography (CTA), different iodine concentrations and scan parameters were applied to quantitatively evaluate the image quality characteristics of filtered back projection (FBP), hybrid-iterative reconstruction (hybrid-IR), and deep learning reconstruction (DLR). A 320-row-detector CT scanner scanned a phantom with various iodine concentrations (1.2, 2.9, 4.9, 6.9, 10.4, 14.3, 18.4, and 25.9 mg/mL) located at the edge of a cylindrical water phantom with a diameter of 19 cm. Data obtained using each reconstruction technique was analyzed through noise, coefficient of variation (COV), and root mean square error (RMSE). As the iodine concentration increased, the CT number value increased, but the noise change did not show any special characteristics. COV decreased with increasing iodine concentration for FBP, adaptive iterative dose reduction (AIDR) 3D, and advanced intelligent clear-IQ engine (AiCE) at various tube voltages and tube currents. In addition, when the iodine concentration was low, there was a slight difference in COV between the reconstitution techniques, but there was little difference as the iodine concentration increased. AiCE showed the characteristic that RMSE decreased as the iodine concentration increased but rather increased after a specific concentration (4.9 mg/mL). Therefore, the user will have to consider the characteristics of scan parameters such as tube current and tube voltage as well as iodine concentration according to the reconstruction technique for optimal CTA image acquisition.

Automated Derivation of Cross-sectional Numerical Information of Retaining Walls Using Point Cloud Data (점군 데이터를 활용한 옹벽의 단면 수치 정보 자동화 도출)

  • Han, Jehee;Jang, Minseo;Han, Hyungseo;Jo, Hyoungjun;Shin, Do Hyoung
    • Journal of KIBIM
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    • v.14 no.2
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    • pp.1-12
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    • 2024
  • The paper proposes a methodology that combines the Random Sample Consensus (RANSAC) algorithm and the Point Cloud Encoder-Decoder Network (PCEDNet) algorithm to automatically extract the length of infrastructure elements from point cloud data acquired through 3D LiDAR scans of retaining walls. This methodology is expected to significantly improve time and cost efficiency compared to traditional manual measurement techniques, which are crucial for the data-driven analysis required in the precision-demanding construction sector. Additionally, the extracted positional and dimensional data can contribute to enhanced accuracy and reliability in Scan-to-BIM processes. The results of this study are anticipated to provide important insights that could accelerate the digital transformation of the construction industry. This paper provides empirical data on how the integration of digital technologies can enhance efficiency and accuracy in the construction industry, and offers directions for future research and application.

Performance Criterion-based Polynomial Calibration Model for Laser Scan Camera (레이저 스캔 카메라 보정을 위한 성능지수기반 다항식 모델)

  • Baek, Gyeong-Dong;Cheon, Seong-Pyo;Kim, Su-Dae;Kim, Sung-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.5
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    • pp.555-563
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    • 2011
  • The goal of image calibration is to find a relation between image and world coordinates. Conventional image calibration uses physical camera model that is able to reflect camera's optical properties between image and world coordinates. In this paper, we try to calibrate images distortion using performance criterion-based polynomial model which assumes that the relation between image and world coordinates can be identified by polynomial equation and its order and parameters are able to be estimated with image and object coordinate values and performance criterion. In order to overcome existing limitations of the conventional image calibration model, namely, over-fitting feature, the performance criterion-based polynomial model is proposed. The efficiency of proposed method can be verified with 2D images that were taken by laser scan camera.

Upper Back Somatotype Analysis for Development of Hanbok Jeogori Pattern of Female in Late 20s (20대 후반 성인 여성의 한복 저고리 패턴 개발을 위한 상반신 뒷면의 체형 분석)

  • Eom, Ran-I;Lee, Yejin
    • Korean Journal of Human Ecology
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    • v.23 no.5
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    • pp.891-904
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    • 2014
  • The objective of this study is to classify somatotypes of back-surface shape of women in their late 20s by using 3D body scan data(Size Korea 2010) in order to improve fitness of Hanbok Jeogori. The results were as follows: 1. According to the in-depth survey of the experienced expert's interview, most problems related to the fit were caused by the back area of Jeogori. 2. The result of factor analysis indicated that 6 factors were extracted and those factors comprised 82.85% of total variance. 3. According to the cluster analysis, back somatotypes of women in their late 20s were categorized by two types : straight type(54.1%) and bending type(46.9%). The results could be used as the Hanbok Jeogori to improve the fitness of back-surface shape.

Development of 2D Patterns for Cycling Pants using 3D Data of Human Movement and Stretch Fabric (동작시 3D 정보를 이용한 2D 패턴 전개 및 신축성 원단의 신장률을 고려한 사이클 팬츠 개발)

  • Jeong, Yeon-Hee;Hong, Kyung-Hi
    • Korean Journal of Human Ecology
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    • v.19 no.3
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    • pp.555-563
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    • 2010
  • With recent advances in 3D scanning technology, three-dimensional (3D) patternmaking is becoming a powerful way to develop garments pattern. This technology is now applicable to the made to measure (MTM) system of both ordinary and tightly fitting garments. Although the pattern of fitted clothing has been developed using 3D human data, it is still interesting to develop cycling pants by considering while-cycling body posture and fabric elasticity. This study adopted the Garland's triangle simplification method in order to simplify data without distorting the original 3D scan. Next, the Runge-Kutta method (2C-AN program) was used to develop a 2D pattern from the triangular pixels in the 3D scanned data. The 3D scanned data of four male, university students aged from 21 to 25, was obtained using Whole body scanner (Model WB4, Cyberware, Inc., USA). Results showed the average error of measurement was $4.58cm^2$ (0.19%) for area and 0~0.61cm for the length between the 3D body scanned data and the 2D developed pattern data. This is an acceptable range of error for garment manufacture. Additionally, the 2D pattern developed, based on the 3D body scanned data, did not need ease for comfort or ease of movement when cycling. This study thus provides insights into how garment patterns may be developed for ergonomic comfort in certain special environments.

A Comparative Analysis of the Difference between 3D Body Scan Measurements and Physical Measurements by Gender -5th Size Korea Adult Data- (3차원 스캔측정치와 직접치수간 차이의 성별 비교 -제5차 Size Korea 성인데이터를 대상으로-)

  • Han, Hyun-Sook;Nam, Yun-Ja
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.8
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    • pp.1190-1202
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    • 2009
  • A 3D body scan measurement (SM) is used as an alternative to physical measurements (PM) as the information for designing industrial products. This study compared the mean difference (MD) between SM and PM by gender and analyzed the causes of the difference. The data used in this study were the scan measurements and physical measurements of adults aged twenty to seventy years old of the fifth Size Korea survey. The results of this study are as follows: 1. The comparison of MD between men and women for all subjects: The measurement of the significant differences between men and women were height, neck base girth, chest girth, under-bust girth, waist girth, armscye girth, back length, and foot length. The causes of difference are the difference of body shape. 2. The comparison of MD between men and women by BMI groups: Many measurements had significant differences between men and women at normal weight and overweight but underweight. Some measurements had significant differences only at a specific BMI group because the body shape difference between men and women is revealed clearly in the group. The comparison of MD between men and women by age groups: The measurements that show significant difference at more than four age groups were neck girth, chest girth, under-bust girth, waist girth, armscye girth, and foot length. The height and abdomen girth had a significant difference in the age range of 20's and 30's. There were measurements that increase MD with an increase in age; under-bust girth and lateral shoulder length for women and lateral shoulder length for men. This comparison of MD between men and women provide the correct guidelines for the use of SM.