• 한국의류학회지
• /
• 제40권6호
• /
• pp.1025-1033
• /
• 2016

It is important to compare and analyze digital camouflage from different countries to promote the continuous development of a camouflage combat uniform. This effort should lead to developing a camouflage pattern suitable for the domestic environment and expand its performance of night camouflage. This study investigates digital camouflage by comparing camouflage fabrics sampled from Korea and eight other countries (USA, UK, Singapore, Croatia, Colombia, and Mongolia) in terms of textile, near-infrared reflectivity of colors, and color distribution. First, the fabric construction of camouflage from Korea, UK, US, Singapore, Span, and Croatia were all characterized by derivative plain weaves, while derivative twill weaves were generally used in Croatia and Mongolia. It is assumed that derivative plain weaves are adopted to improve the tearing strength of fine yarns. However, twill weaves enhance the flexibility of coarse yarn fabrics. Next, reflectivity change was analyzed based on camouflage color. The reflectivity of a combat uniform in Korea, Colombia, Croatia, and UK increased before 780nm in the visible light range, but remained consistent from 800nm which falls under the near-infrared range. In contrast, camouflage samples in Mongolia, Span, Singapore and USA showed a gradual increase of reflectivity in the near-infrared range. Finally, the color distribution analysis of digital camouflage found that camouflage of countries with desert or woodland combat settings dominantly contained brown colors. It indicates the color pattern consideration of different geographic regions is important to determine camouflage performance. This research involves basic study that will have implications for developing patterns and colors suitable for the South Korean environment and expand its use as night camouflage that helps achieve continuous improved camouflage performance.

• 한국산학기술학회논문지
• /
• 제21권5호
• /
• pp.630-636
• /
• 2020

본 논문에서는 군용 항공기의 시각 탐지(visual detection)를 지연시키는 위장기술에 대하여 조사하였다. 위장(camouflage)이란 관찰자에게 드러나 보이지 않도록 어떤 물체를 거짓으로 꾸미는 것으로 정의할 수 있다. 그러나 군사적 관점에서의 위장은 완전히 사라지게 하는 것이라기보다는 관찰자의 탐지시간을 연장하거나 탐지가능성(detectability)을 낮추는데 목적이 있다. 기본적으로 항공기 위장은 항공기 위치 탐지를 지연시킬 뿐만 아니라, 관측자에게 항공기의 속도와 고도, 진행방향에 대한 혼란을 유발하여야 한다. 따라서 저(低)탐지기술 또는 위장기술은 군용 항공기의 생존성 향상에 많은 영향을 미치므로 많은 연구가 지속적으로 진행되었다. 근접 지원 항공기 및 제공 전투기의 경우는 다색(multi-tone) 위장패턴과 반음영(counter-shaded) 위장패턴이 일반적으로 적용되고 있다. 아울러, 단색(mono-tone) 위장패턴 역시 색상(hue)과 명도(brightness)가 적절히 조절 및 조합되었을 때 위장효과가 큰 것으로 나타났다. 항공기의 위장 성능 향상을 위한 능동 시각 위장 기술(active camouflage techniques)에 관한 연구도 진행되었다. 특히, 발광 반사율이 높은 발광 장치를 사용하는 Counter-illumination 기술은 항공기 표면과 배경 하늘의 명도차를 최소화하여 위장 효과를 향상시켰다. 이와 같은 능동 시각 위장 기술은 시각 탐지에 비교적 취약한 저고도 무인기의 생존성 향상에 기여할 것으로 기대된다.

• 한국컴퓨터정보학회:학술대회논문집
• /
• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
• /
• pp.671-672
• /
• 2021

본 논문에서는 작전환경과 위장무늬 디자인 영상 간의 색상 및 구조 분석 기반의 새로운 정량적 위장무늬 평가 방법을 제안한다. 작전환경 및 위장무늬 디자인 영상 간 RGB, Lab 색상 공간에서의 화소간 평균 오차 및 색상 히스토그램 비교를 통해 색상 유사도를 계산한다. 또한, PSNR(Peak Signal-to-Noise Ratio), MSSIM(Mean Structural Similarity Index), UIQI, GMSD 및 딥러닝 기반 영상 간 구조 유사도를 계산한다. Random Forest Regressor를 통해 각각 계산된 색상 및 구조 유사도 파라미터를 회기 분석하여 최종 위장무늬 평가 결과를 계산한다. 20명의 피실험자를 대상으로 제안한 위장무늬 평가 방법과 기존 평가 방법을 비교함을 통해 제안한 방법의 성능을 검증하였다.

• 한국의류산업학회지
• /
• 제15권5호
• /
• pp.682-693
• /
• 2013

Camouflage is evaluated by scientific principle in the fields of biology, military science, and art. It has a strong influence on contemporary fashion and means exposure with concealment. This study analyzed the visual characteristics of camouflage patterns in fashion design through documentaries and fashion photos. The fashion design results areas follow. The simple blending of a disruptive motif indicated an inaccurate repetition of a disruptive motif, the discontinuous or continuous connection of disruptive motif, the irregular repetition of a disruptive animal silhouette, the collage of a different disruptive motif, the craft of a disruptive motif and the intensive color match of a disruptive motif. It represented the maximization of complication, fantastic and fanciness. The overlap of a disruptive motif showed the overlap of disruptive print patterns with transparency and an overlap of different fabrics with a disruptive pattern. It represented spatial relationships of three dimensions as well as the maximization of visual illusion and the reinforcement of attractiveness. The blurring of a disruptive motif showed the pointage of disruptive motif, the pointage of image, value gradation, the whole blurring of a disruptive pattern cluster and stained appearance. It represented the obscurity of motif form, the uncertainty of object and double meaning. The trompe l'oeil of a partial background object showed the realistic and the painterly imitation of color and texture for partial objects through a close-up. It represented amazement and pleasure by illusion, scarcity and the decoration of surface and synecdochical remind. In conclusion, camouflage in fashion was weakened and modified from a classical military context by a unique expression of various motifs.

• 한국의류학회지
• /
• 제40권3호
• /
• pp.456-464
• /
• 2016

A new combat uniform is improved for added combat safety with various functions such as survivability, battle conformity and a camouflage performance system. Camouflage performance is an important factor in terms of combat survivability since it makes identification difficult and provide security. The combat uniform is worn under extreme conditions (exposure to ultraviolet light, sweat and friction) and an excellent color fastness to repeated washing is required. In this study, we investigated the color management, durability and discoloration of new combat uniform fabric with a digital pattern for camouflage performance to provide preliminary color management data. We examined color differences between standard fabric and mass-produced combat uniform fabrics, color differences between each military supply contract firm and color changes in combat uniforms after 60 washing cycles. The slight color differences between standard fabric and mass-produced combat uniform fabrics were tolerable under quality criteria of Republic of Korea Ministry of National Defense. However, the differences between the military supply contract firms were recognizable to the naked eye and increased with repeated washing. Continuous research on color fastness under repeated washing and color management is required to standardize reliability from each military supply contract firm for the daytime performance of a combat uniform's camouflage.

• Journal of Information Processing Systems
• /
• 제9권4호
• /
• pp.660-677
• /
• 2013

The blending of defective texture with the ambience texture results in camouflage. The gray value or color distribution pattern of the camouflaged images fails to reflect considerable deviations between the camouflaged object and the sublimating background demands improved strategies for texture analysis. In this research, we propose the implementation of an initial enhancement of the image that employs line masks, which could result in a better discrimination of the camouflaged portion. Finally, the gray value distribution patterns are analyzed in the enhanced image, to fix the camouflaged portions.

• 대한치과의사협회지
• /
• 제57권6호
• /
• pp.344-351
• /
• 2019

Skeletal Class III malocclusion is a relatively common form of malocclusion in Korea. In borderline cases where only mild skeletal discrepancy exists and if worsening of the facial profile is expected as a result of premolar extraction, mandibular full arch distalization with miniscrews is the treatment of choice. The purpose of this study was to investigate the pattern of tooth movement and evaluate the stability of mandibular full arch distalization and to identify correlation between stability and factors such as initial skeletal pattern, dental changes during treatment and alveolar bone in symphysis region using lateral cephalograms.

• 한국의류학회지
• /
• 제32권8호
• /
• pp.1264-1273
• /
• 2008

The purpose of this study is to analyze protection functionality of supermodern fashion which is shown by responding to supermodern environment, where non-spaces increases in the 21st modern city. The theoretical background is drawn for supermodern environment theory. For the study, he researcher used existing study and specialized book and analyzed photograph materials by selecting them in specialized fashion book, internet site and designer's collection. The works from 1995 S/S collection to 2008 S/S collection are analyzed. The result of this study is as follow. First, supermodern design is adopting the shape of high-functional element, electronic device, protective device to protect wearer in non-space. Second, in order to mentally protect individual anonymous leadership of interaction is granted by adopting hood, veil or mask. Third, supermodern design is creating independent and user-based space by shape transformation in change of urban environment. Fourth, in order to protect wearer through camouflage or concealment, camouflage pattern or neutral color are used.

• 한국컴퓨터정보학회:학술대회논문집
• /
• 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
• /
• pp.423-424
• /
• 2020

다양한 환경 변화에 따라 적용 가능한 최적의 위장무늬 개발의 필요성이 증대됨에 따라 위장무늬 성능 평가를 위한 포토시뮬레이션 기술 또한 주목받고 있으나 포토시뮬레이션 저작에 관한 연구는 미비하다. 본 논문에서는 작전환경 이미지 상 위장무늬 이미지의 배치 및 기 배치된 위장무늬의 탐지 시간을 측정하는 소프트웨어인 포토시뮬레이션 기술 개발에 대해 서술한다. 개발된 포토시뮬레이션은 작전환경 및 위장무늬 이미지 로드, 사용자 입력도구를 통한 대상 작전환경 이미지 상 위장무늬 이미지의 배치 및 저작, 저작 된 작전 환경 이미지 상 위장무늬 이미지를 모니터에 출력, 사용자 입력도구를 통한 작전환경 이미지 상 위장무늬 이미지의 탐지 및 탐지 시간 측정 기술을 포함한다. 결과에서는 개발 포토시뮬레이션 기술을 통한 위장무늬 이미지 배치 및 저작, 그리고 위장무늬 이미지의 평균 시간 측정 결과 예시를 보여준다.

• 한국군사과학기술학회지
• /
• 제23권2호
• /
• pp.139-146
• /
• 2020

The camouflage pattern was difficult to distinguish from the surrounding background, so it was difficult to classify the object and the background image when the color image is used as the training data of deep-learning. In this paper, we proposed a red-green color blindness image transformation method using the principle that people of red-green blindness distinguish green color better than ordinary people. Experimental results show that the camouflage soldier's recognition performance improved by proposed a deep learning model of the ensemble technique using the imitated red-green-blind image data and the original color image data.