• Journal of radiological science and technology
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• v.43 no.5
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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.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.1
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• pp.9-18
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• 2018

Recently, the use of image stitching technology has been increasing as the number of contents based on virtual reality increases. Image Stitching is a method for matching multiple images to produce a high resolution image and a wide field of view image. The image stitching is used in various fields beyond the limitation of images generated from one camera. Image Stitching detects feature points and corresponding points to match multiple images, and calculates the homography among images using the RANSAC algorithm. Generally, corresponding points are needed for calculating conversion relation. However, the corresponding points include various types of noise that can be caused by false assumptions or errors about the conversion relationship. This noise is an obstacle to accurately predict the conversion relation. Therefore, RANSAC algorithm is used to construct an accurate conversion relationship from the outliers that interfere with the prediction of the model parameters because matching methods can usually occur incorrect correspondence points. In this paper, we propose an algorithm that extracts more accurate inliers and computes accurate transformation relations by using correspondence point relation information used in RANSAC algorithm. The correspondence point relation information uses distance ratio between corresponding points used in image matching. This paper aims to reduce the processing time while maintaining the same performance as RANSAC.

• Fashion & Textile Research Journal
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• v.16 no.6
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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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• v.9 no.6
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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.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.847-848
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• 2012

• Archives of Plastic Surgery
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• v.36 no.1
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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.

• Publications of The Korean Astronomical Society
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• v.32 no.1
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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.

• Journal of IKEEE
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• v.20 no.4
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• pp.420-423
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• 2016

In this paper, we proposed an implementation of panoramic image stitching that operates in real time at the embedded environment by applying ROI based PROSAC algorithm using the directionality of the image. The conventional panoramic image stitching applies SURF or SIFT algorithm which contains unnecessary computation and a lots of data to detect feature points. In this paper, we use the direction of the input image and we proposed the method of reducing the unnecessary computation by using ROI. We use a gyro sensor and an acceleration sensor. Output data from gyro and acceleration sensors can be calibrated by complementary filter. The calibration does not affect the operating time of the proposed image stitching algorithm in embedded environment. Therefore, it is possible to operate in real-time.

• Journal of the Korean Society for Precision Engineering
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• v.34 no.2
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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.

• Journal of IKEEE
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• v.19 no.4
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• pp.460-464
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• 2015

This paper proposes a panoramic image stitching that operates in real time at the embedded environment by applying ROI and PROSAC algorithm. The conventional panoramic image stitching applies SURF or SIFT algorithm which contains complicated operations and a lots of data, at the overall image to detect feature points. Also it applies RANSAC algorithm to remove outliers, so that an additional verification time is required due to its randomness. In this paper, unnecessary data are eliminated by setting ROI based on the characteristics of panorama images, and PROSAC algorithm is applied for removing outliers to reduce verification time. The proposed method was implemented on the ORDROID-XU board with ARM Cortex-A15. The result shows an improvement of about 54% in the processing time compared to the conventional method.