• Composites Research
• /
• 제33권5호
• /
• pp.296-301
• /
• 2020

적층복합재는 면내 방향의 물성은 우수하지만 두께 방향의 물성이 취약하여 굽힘, 비틀림하중이 가해질 때 층간 분리(Delamination) 현상이 쉽게 나타난다. 층간 분리 현상을 지연하는 복합재의 두께 방향 물성 보강법으로는 Z-pinning, Stitching, Tufting 등이 있으며, 대표적으로 Z-pinning과 Stitching 공법을 많이 사용한다. Z-pinning 공법은 prepreg의 두께 방향으로 금속 핀이나 카본 핀을 적용하여 보강하는 공법이고, Stitching 공법은 프리폼에 상부 및 하부 섬유를 교차시켜 두께방향으로 기계적 강도를 향상시키는 방법이다. 본 논문에서는 Z-pinning과 Stitching 공법의 단점을 보완 및 개선한 I-fiber stitching 공법을 제안하였으며, 본 공법이 적용된 복합재 Single-lap joint의 정적 강도를 평가하였다. Single-lap joint 시편은 오토클레이브 진공백 공정을 사용하여 동시경화법으로 제작하였다. 복합재 시편 두께는 고정하였으며, Stitching 패턴(5×5, 7×7)과 삽입 각도(0°, 45°)를 변화시켜가며 총 5 종류의 시편을 제작하였다. 시험 결과, I-fiber stitching 공법을 적용한 시편의 파손하중은 보강하지 않은 시편의 파손하중 대비 최대 143% 증가하였다.

• 방송공학회논문지
• /
• 제27권1호
• /
• pp.20-30
• /
• 2022

최근 VR (Virtual Reality) 기술이 주목받기 시작하면서 생동감 넘치는 VR 컨텐츠를 볼 수 있는 360° 파노라마 영상이 많은 관심을 받고 있다. 이미지 스티칭 기술은 360° 파노라마 영상을 제작하는데 주요한 기술로서 많은 연구가 활발하게 이루어지고 있다. 일반적인 스티칭 알고리즘은 특징점 기반 이미지 스티칭을 기반으로 한다. 하지만 기존의 특징점 기반 이미지 스티칭 방법들은 특징점에 크게 영향을 받는다는 문제가 존재한다. 이러한 문제를 해결하기 위해서 최근에는 딥러닝 기반의 이미지 스티칭 기술들이 연구되고 있지만 이미지 간의 겹치는 영역이 거의 없거나 큰 시차가 존재할 때 여전히 많은 문제점이 존재한다. 또한 실제 환경에서는 라벨링 된 정답 파노라마 영상을 얻을 수 없으므로 완전한 지도학습에 한계가 존재한다. 따라서 자율주행분야에 많이 이용되는 칼라(Carla) 시뮬레이터를 통해 카메라 센터가 다른 3개의 fisheye 이미지와 그에 대응되는 정답 영상을 제작하였다. 우리는 제작한 fisheye 영상으로360° 파노라마 영상을 만드는 이미지 스티칭 모델을 제안한다. 최종 실험 결과로는 실제 환경과 비슷하게 구성한 가상의 데이터 세트로 다양한 환경과 큰 시차에도 강인한 스티칭 결과를 검증한다.

• Composites Research
• /
• 제32권2호
• /
• pp.102-107
• /
• 2019

Several studies related to reinforce composites structures in the through thickness direction have been developed along the years. As follows, in this study a new reinforced process is proposed based on previous experimental results using a novel stitching process in T-joints and one-stitched specimens. It was established the need to perform more analysis under standard test methods to obtain a better understanding. FEM analysis were compared after performed mode I interlaminar fracture toughness test, using different stitching patterns to analyze the through thickness strength with reference laminates without stitching. The stitching patterns were defined in $2{\times}2$ and $3{\times}3$, where the upper and lower head of the non-continuous stitching process (I-Fiber) has proven to influence in a higher through thickness strength of the laminate. In order to design the numerical model, cohesive parameters were required to define the surface to surface bonding elements using the cohesive zone method (CZM) and simulate the crack opening behavior from the double cantilever beam (DCB) test.

• ETRI Journal
• /
• 제41권1호
• /
• pp.73-83
• /
• 2019

This paper describes in detail the processing path leading to successful phase images stitching in digital holographic microscope for the extension of the field of view. It applies FIJI Grid/Collection Stitching Plugin, which is a general tool for images stitching, non-specific for phase images. The FIJI plugin is extensively supported by aberration and phase offset correction. Comparative analysis of different aberration correction methods and data processing strategies is presented, together with the critical analysis of their applicability. The proposed processing path provides good background for statistical phase analysis of cell cultures and digital phase pathology.

• Macromolecular Research
• /
• 제11권2호
• /
• pp.98-103
• /
• 2003

The mechanical properties and failure mechanisms of through-the-thickness stitched plain weave glass fabric/polyurethane foam/epoxy composites were studied. Hybrid composites were fabricated using resin infusion process (RIP). Stitched sandwich composite increased drastically the flexural properties as compared with the unstitched fabrics. The breaking of stitching yarns was observed during the flexural test and this failure mode yielded relatively high flexural properties. Composites with stitched sandwich structure improved the mechanical properties with increasing the number of stitching yarns. From this study, it was concluded that proper combination of stitching density and types of stitching fiber is important factor for through-the-thickness stitched composite panels.

• Elastomers and Composites
• /
• 제57권4호
• /
• pp.157-164
• /
• 2022

Representative bulletproof materials, such as aramid or ultra-high molecular weight polyethylene(UHMWPE), have excellent strength and modulus in the plane direction but are very vulnerable to forces applied in the thickness direction. This paper reports a study on the effects of reinforcement in the thickness direction when bulletproof composite fabrics are prepared to improve their performance. Aramid and UHMWPE fabrics were combined using the film-bonding, needle-punching, or stitching methods and then subjected to low-velocity projectile and ball-drop impact tests. The results of the low-velocity projectile test indicated that the backface signature(BFS) decreased by up to 29.2% in fabrics obtained via the film-bonding method. However, the weight of the film-bonded fabric increased by approximately 23% compared with that obtained by simple lamination, and the fabric stiffened on account of the binder. Flexibility, light weight for wearability, and excellent bulletproof performance are very important factors in the development of bulletproof materials. When the needle-punching method was used, the BFS increased as the fibers sustained damage by the needle. When the composite fabrics were combined by stitching, no significant difference in weight and thickness was observed, and the BFS showed similar results. When a diagonal stitching pattern was employed, the BFS decreased as the stitching density increased. By contrast, when a diamond stitching pattern was used, the fabric fibers were damaged and the BFS increased as the stitching density increased.

• 반도체디스플레이기술학회지
• /
• 제16권2호
• /
• pp.61-65
• /
• 2017

Recently, the interest and research on 360 camera and 360 image production are expanding. In this paper, we describe the feature extraction algorithm, alignment and image blending that make up the feature-based stitching system. And it deals with the theory of representative algorithm at each stage. In addition, the feature-based stitching system was implemented using OPENCV library. As a result of the implementation, the brightness of the two images is different, and it feels a sense of heterogeneity in the resulting image. We will study the proper preprocessing to adjust the brightness value to improve the accuracy and seamlessness of the feature-based stitching system.

• ETRI Journal
• /
• 제37권6호
• /
• pp.1143-1153
• /
• 2015

In this paper, we propose an efficient architecture for a real-time image stitching engine for vision SoCs found in motor vehicles. To enlarge the obstacle-detection distance and area for safety, we adopt panoramic images from multiple telegraphic cameras. We propose a stitching method based on a fixed homography that is educed from the initial frame of a video sequence and is used to warp all input images without regeneration. Because the fixed homography is generated only once at the initial state, we can calculate it using SW to reduce HW costs. The proposed warping HW engine is based on a linear transform of the pixel positions of warped images and can reduce the computational complexity by 90% or more as compared to a conventional method. A dual-core SW/HW image stitching engine is applied to stitching input frames in parallel to improve the performance by 70% or more as compared to a single-core engine operation. In addition, a dual-core structure is used to detect a failure in state machines using rock-step logic to satisfy the ISO26262 standard. The dual-core SW/HW image stitching engine is fabricated in SoC with 254,968 gate counts using Global Foundry's 65 nm CMOS process. The single-core engine can make panoramic images from three YCbCr 4:2:0 formatted VGA images at 44 frames per second and frequency of 200 MHz without an LCD display.

• 반도체디스플레이기술학회지
• /
• 제15권4호
• /
• pp.97-102
• /
• 2016

Image stitching is a process of combining two or more images with overlapping area to create a panorama of input images, which is considered as an active research area in computer vision, especially in the field of augmented reality with 360 degree images. Image stitching techniques can be categorized into two general approaches: direct and feature based techniques. Direct techniques compare all the pixel intensities of the images with each other, while feature based approaches aim to determine a relationship between the images through distinct features extracted from the images. This paper proposes a novel image stitching method based on feature pixels with approximated clustering filter. When the features are extracted from input images, we calculate a meaning of the minutiae, and apply an effective feature extraction algorithm to improve the processing time. With the evaluation of the results, the proposed method is corresponding accurate and effective, compared to the previous approaches.

• 한국광학회지
• /
• 제26권1호
• /
• pp.44-53
• /
• 2015

현재의 이미지 센서기술은 메가픽셀 급에 한정되어 있는데 메가픽셀 급의 이미지 센서로 기가픽셀의 이미지를 생성하기 위해서는 필수적으로 중첩영역의 이미지를 하나로 합성하는 스티칭(stitching) 기법을 쓸 수밖에 없다. 본 논문에서는 로봇파노라마헤드와 스티칭 기법을 사용하여 기가픽셀카메라 기술의 전 과정을 탐구해 보았다. 그리고 이 과정을 통해서 얻어진 경험이나 이해를 바탕으로 듀크대와 BAE의 기가픽셀카메라 기술에 대해서도 설계해석을 시도해 보았다. 또 나아가, 새로운 기가픽셀카메라의 광학구조에 대한 모색도 시도해 보았다. 기가픽셀카메라 기술에서는 스티칭 작업과는 별도로 먼거리의 피사체 혹은 대기오염과 같은 원인으로 발생하는 흐릿한 영상부분을 보정하는 것이 필수적이라는 것도 파악되었다.