• 대한방사선기술학회지:방사선기술과학
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• 제43권5호
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• pp.331-336
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• 2020

In this study, we would like to examine the effect of the location of the magnification marker and the change in the stitching range on the magnification marker and the expansion of the anatomical structure in the examination of femoral stitching radiation using the stitching technique, and to find out the usability of the femoral stitching radiation examination in the preoperative examination for THRA. The measured values measured by 5 researchers were summed and presented through descriptive statistics. When the position of the magnification marker was changed, the average value of the measured value was in the range of 113.54 to 113.90 mm. The anatomical structures of the femur were measured in the range of 57.24 to 57.78 mm, 27.20 to 27.56 mm, and 70.11 to 70.81 mm, respectively. This showed a similar deviation from the expansion rate of previous related papers using markers. Therefore, it is considered that femoral stitching X-ray examination using magnification markers can be used for preoperative examination for THRA.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제7권1호
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• pp.9-18
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• 2018

최근 가상현실 기반의 콘텐츠들이 늘어나면서 이미지 Stitching 기술의 사용이 증가하고 있다. 이미지 Stitching이란 고해상도 이미지 및 넓은 시야(Wide Field of View)의 이미지를 생성하기 위해 다중의 영상을 정합하는 방법이다. 이런 이미지 Stitching은 하나의 카메라로부터 생성되는 영상의 한계를 넘어 다양한 분야에서 활용되고 있다. 이미지 Stitching은 다중의 영상을 정합하기 위해 특징 점 및 대응점을 검출하고 RANSAC 알고리즘을 이용하여 영상간의 변환관계(Homography)를 계산한다. 일반적으로 변환관계 계산을 위해 대응점들이 필요하다. 그러나 대응점들에는 변환관계에 대한 잘못된 가정이나 오류로 인해 발생할 수 있는 다양한 유형의 노이즈(Noise)가 포함되어 있다. 이러한 노이즈는 변환관계를 정확히 예측하는 방해 요인이 된다. 이처럼 일반적으로 사용되는 대응점 매칭(Matching) 방법들은 잘못된 대응점들을 매칭할 수 있는 경우가 발생하기 때문에 모델 파라미터의 예측을 방해하는 대응점(Outlier)로부터 정확한 변환관계를 구축하기 위해 RANSAC 알고리즘을 사용한다. 본 논문에서는 RANSAC 알고리즘에 사용되는 대응점 관계 정보를 이용하여 좀 더 정확한 대응점(Inlier)을 추출하고 정확한 변환관계를 계산하는 알고리즘을 제안한다. 대응점 관계 정보는 이미지 매칭에 사용되는 대응점 간의 거리 비율을 사용하며, 본 논문은 기존 RANSAC 알고리즘과 같은 성능을 유지하면서 처리 시간을 단축시키는데 있다.

• 한국의류산업학회지
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• 제16권6호
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• pp.927-934
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• 2014

Today Hanbok, the symbol of our nation's culture, has been preserved as cultural heritage despite natural and social environmental changes over years. This study is analyzing Hanbok which were taken in the National Skills Competition from 2000 to 2013; it presents our traditional stitching methods and clarifies the pride the Hanbok artisans have as inheriting the traditional heritage. Therefore this paper contributes to continuous and proper development of the culture of Hanbok and being loved by many people. The assignments about Hanbok featured in the National Skills Competition were categorized by national and local competition, time required to produce assignments, required amount of fabric, type of stitching, unlined and lined clothes depending on the type of assignment; according to the classification, methods for sewing were analyzed in detail. First, the national tournament presented 12 kinds of sewing techniques; especially hand-sewn stitching method appeared in common. Second, the unlined and lined clothes depending on the type of assignments had applied different sewing methods; double-stitching, flat fell seam, french seam, roll over sewing, blind stitch, right angle blind stitch, decorative saddle stitching, darning, etc. were used. Sewing methods in the 21st century has not changed over the years; the shape of clothes was changed upon trends. Sewing became easier than before by the invention of sewing machine, we should carry on our traditional sewing techniques. Through this analysis on sewing methods of the National Skills Competition, I hope to support competition participants for studying Hanbok and indicate proper sewing techniques.

• Journal of information and communication convergence engineering
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• 제9권6호
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• pp.747-752
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• 2011

The position detection of overlapping area in the interframe for image stitching using auto and cross correlation function (ACCF) and compounding one image with the stitching algorithm is presented in this paper. ACCF is used by autocorrelation to the featured area to extract the filter mask in the reference (previous) image and the comparing (current) image is used by crosscorrelation. The stitching is detected by the position of high correlation, and aligns and stitches the image in shifting the current image based on the moving vector. The ACCF technique results in a few computations and simplicity because the filter mask is given by the featuring block, and the position is enabled to detect a bit movement. Input image captured from CMOS is used to be compared with the performance between the ACCF and the window correlation. The results of ACCF show that there is no seam and distortion at the joint parts in the stitched image, and the detection performance of the moving vector is improved to 12% in comparison with the window correlation method.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 춘계학술대회 논문집
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• pp.847-848
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• 2012

• Archives of Plastic Surgery
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• 제36권1호
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• pp.122-125
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• 2009

Purpose: Stitching out in facial simple laceration on children, we use No.11 blade. But the procedure is technically demanded to take care of the uncooperative pediatric patient. When we suture a laceration on the pediatric patient, we apply this method using ribbon shaped knot. On stitching out, We pull one the edge of a stitching fiber easily without injury about normal tissue. Methods: We studied 54 pediatric patients who have facial lacerations for children under six years old, from May, 2006 to December, 2007 in Plastic Surgery department, emergency room. Among them 35 were male, 19 were female and age average was 3.9. Results: For following up dressing, ribbon shaped knot did not get loose. After stitching out in facial laceration on children, Major complication of infection, hematoma, dehiscence was not found. Conclusion: The advantage of this operation method using ribbon shaped knot when we Stitch out the fiber on the incorporative pediatric patients, is easy to perform and to reduce the stitching time, without sedation.

• 천문학논총
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• 제32권1호
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• pp.363-365
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• 2017

The telescope to be onboard SPICA (Space Infrared Telescope for Cosmology and Astrophysics) has an aperture diameter of 2.5 m and its imaging performance is to be diffraction-limited at a wavelength of $20{\mu}m$ at the operating temperature of <8 K. Because manufacturing precise autocollimating flat mirrors (ACFs) with sizes comparable to the SPICA telescope is not technically feasible, we plan to use sub-aperture stitching interferometry through ACFs for optical testing of the telescope. We have verified the applicability of the sub-aperture stitching technique to the SPICA telescope by performing stitching experiments in a vacuum at a room temperature, using the 800-mm telescope and a 300-mm ACF. We have also developed a new method to reduce uncertainties possibly caused by cryogenic and gravitational deformations of ACFs.

• 전기전자학회논문지
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• 제20권4호
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• pp.420-423
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• 2016

본 논문은 임베디드 환경에서 실시간으로 동작하기 위해 입력 영상의 방향성을 판단하여 ROI를 지정하고 SURF, PROSAC 알고리즘을 적용하는 파노라마 영상 정합 방법을 제안한다. 기존의 파노라마 정합 알고리즘은 SURF 알고리즘이나 SIFT 알고리즘과 같이 많은 연산 데이터가 사용되는 알고리즘을 영상 전체에 적용하여 연산하기 때문에 불필요한 연산 영역을 포함하고 있다. 따라서 본 논문은 입력되는 영상의 방향을 판단한 결과로 영상의 ROI를 지정하여 불필요한 연산을 줄이는 방법을 제안한다. 영상의 방향을 판단하는데 사용하는 센서는 자이로 센서와 가속도 센서를 사용한다. 임베디드 환경에서 자이로 센서와 가속도 센서의 상보 필터를 통한 값 보정은 영상 정합 알고리즘의 처리 시간에 영향을 주지 않기 때문에 실시간 동작이 가능하다.

• 한국정밀공학회지
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• 제34권2호
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• pp.107-114
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• 2017

In this investigation, we describe a metrological technique for surface and thickness profiles of a silicon (Si) wafer by using a 6 degree of freedom (DOF) stitching method. Low coherence scanning interferometry employing near infrared light, partially transparent to a Si wafer, is adopted to simultaneously measure the surface and thickness profiles of the wafer. For the large field of view, a stitching method of the sub-aperture measurement is added to the measurement system; also, 6 DOF parameters, including the lateral positioning errors and the rotational error, are considered. In the experiment, surface profiles of a double-sided polished wafer with a 100 mm diameter were measured with the sub-aperture of an 18 mm diameter at $10\times10$ locations and the surface profiles of both sides were stitched with the sub-aperture maps. As a result, the nominal thickness of the wafer was $483.2{\mu}m$ and the calculated PV values of both surfaces were $16.57{\mu}m$ and $17.12{\mu}m$, respectively.

• 전기전자학회논문지
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• 제19권4호
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• pp.460-464
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• 2015

본 논문은 임베디드 환경에서 실시간으로 동작하기 위해 이미지에 ROI를 지정하고 PROSAC 알고리즘을 적용하여 구현한 파노라마 영상 정합을 제안한다. 기존의 방식은 SURF 알고리즘이나 SIFT 알고리즘과 같이 복잡한 연산과 많은 연산 데이터의 알고리즘을 화면 전체에 적용하여 탐색한다. 또한 outlier 제거 알고리즘으로 RANSAC을 적용하여 알고리즘이 가진 무작위성으로 추가적인 검증 시간을 필요로 한다. 본 논문은 파노라마 영상의 특성을 고려하여 ROI를 설정함으로써 불필요한 연산량을 줄이고 outlier 제거 알고리즘을 검증 시간을 줄인 PROSAC 알고리즘으로 채택하여 처리 속도를 개선하였다. 비교 실험은 ARM Cortex-A15가 내장된 ODROID-XU 환경에서 진행 하였다. 제안하는 방식은 기존의 방식보다 처리 시간이 약 54% 개선되었다.