• 한국농촌건축학회논문집
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• 제11권1호
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• pp.37-45
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• 2009

This study aims for proposing improvement method for streetscape in a small and medium city of Korea. According to this purpose, in chapter 2, by inspecting conservation of street environment and streetscape, deduce the frame for analyzing streetscape in commercial district. In chapter 3, analyzing present condition and problems of selected streets in Pohang City, derive the primary factors to induce desirable streetscape through problems and their reason between the analyzed elements of building form. Analyzed elements are composed of floor elements, wall elements, ceiling elements. The detailed elements are pavement of road, street furniture, height of buildings, color and material of building and outdoor advertisements. In chapter 4, by conducting a questionnaire survey of pedestrians about street images -choosing impressive physical elements and the feeling of the street by the list of adjective of semantic differential scale- and the preference, propose the direction of improvement about streetscape in commercial district.

• 전기학회논문지
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• 제61권3호
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• pp.472-478
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• 2012

The inspection machine in PCB (printed circuit board) assembly line checks assembly errors by inspecting the images inside of the component inspection region. The component inspection region consists of region of component package and region of soldering. It is necessary to extract the regions automatically for auto-teaching system of the inspection machine. We propose an image segmentation method to extract the component inspection regions automatically from images of PCB. The acquired image is transformed to HSI color model, and then segmented by several regions by clustering method. We develop a modified K-means algorithm to increase the accuracy of extraction. The heuristics generating the initial clusters and merging the final clusters are newly proposed. The vertical and horizontal projection is also developed to distinguish the region of component package and region of soldering. The experimental results are presented to verify the usefulness of the proposed method.

• 혜화의학회지
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• 제20권1호
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• pp.51-63
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• 2011

There are two methods in inspection diagnosis(望診), the viewing shape(觀形) and the inspecting color(察色). Acquiring proper analysis from viewing shape(觀形) requires several standards of shape that can be compared with. We can identify major defects and flaws of the shape from comparing it with the standards that is defined as very normal shape. Also, It can eventually provide us interpretation of health related meanings of the objective shapes. Those standards need symmetrical and proportional details. In this research, I put some physiognomy and inspection diagnosis related documents, and standards for restorative plastic surgery together to suggest standards on viewing shape diagnosis of nose which is one of the most important spot in facial inspection. It is expected to improve delicacy of Oriental medine's inspection diagnosis, as the result of the comparison between plastic surgery and inspection diagnosis.

• 한국정밀공학회지
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• 제32권6호
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• pp.537-542
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• 2015

The measurement of 3D shape is important in inspecting the quality of product. In this paper, we present a 3D shape measurement system of fastener using a camera and a slit laser. Calibration structure with slits is used in the extrinsic calibration of the camera and laser. The pose of the camera and laser is computed under the same world coordinate system in the calibration structure. Reflection of laser light on the metal surface causes many difficulties in the robust detection of them on image. We overcome this difficulty by using color and dynamic programming. Motor stage is used to rotate the fastener to recover the whole 3D shape of the surface of it.

• Journal of Platform Technology
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• 제11권6호
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• pp.13-20
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• 2023

Regularly inspecting vehicle tires' condition is imperative for driving safety and comfort. Poorly maintained tires can pose fatal risks, leading to accidents. Unfortunately, manual tire visual inspections are often considered no less laborious than employing an automatic tire inspection system. Nevertheless, an automated tire inspection method can significantly enhance driver compliance and awareness, encouraging routine checks. Therefore, there is an urgency for automated tire inspection solutions. Here, we focus on developing a deep learning (DL) model to predict cracked tires. The main idea of this study is to demonstrate the comparative analysis of DenseNet121, VGG-19 and EfficientNet Convolution Neural Network-based (CNN) Transfer Learning (TL) and suggest which model is more recommended for cracked tire classification tasks. To measure the model's effectiveness, we experimented using a publicly accessible dataset of 1028 images categorized into two classes. Our experimental results obtain good performance in terms of accuracy, with 0.9515. This shows that the model is reliable even though it works on a dataset of tire images which are characterized by homogeneous color intensity.

• 한국멀티미디어학회논문지
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• 제14권3호
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• pp.356-367
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• 2011

본 논문에서는 차 엔진의 누수 방지를 위한 실링 처리 후 실링 처리 영역에 대한 정확도를 검사하는 새로운 알고리즘을 제안하고, 실제 생산라인에서 동작하는 자동차 엔진 실링검사 시스템을 개발하였다. 검사 방법은 기존에 제안된 영상처리 기법에 기반을 두는 세 가지 검사 방법들이 갖는 설치의 어려움, 높은 계산의 복잡도, 유사 색 기름에 의한 실링검사 성능 저하 등의 여러 가지 단점을 해결하고 저 비용의 시스템을 개발하기 위해 개발되었다. 제안하는 시스템은 기존의 방법에서 적용하지 않은 설링 전후의 차영상을 활용하는 기법을 이용하여 다양한 환경변화에 적응적이며, 고정형 카메라 1대로 검사가 가능한 저 비용 시스템이다. 실제 생산라인에서의 비교 실험을 통해 제안하는 실링검사 방법은 기존의 생산라인에서 적용되고 있는 세 가지 다른 방법들에 비해 높은 실링검사 정확도를 보여 성능의 우수성을 입증하였다.

• 한국광학회지
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• 제28권1호
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• pp.1-8
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• 2017

본 연구에서는 디스플레이 기판의 결함 검출을 위해 푸리에 광학을 이용하는 방법에 대하여 제안하였다. 제안하는 방법은 고배율의 광학계를 사용하지 않기 때문에 비용적 부담이 적은 결함 검출 시스템을 구현하는데 사용될 수 있다. 그리고, 제안하는 방법은 고배율 광학계의 짧은 피사계 심도에 기인하는 기판과 카메라 간의 거리 변화에 대한 엄격한 허용오차를 피할 수 있다. 또한, 카메라와 기판의 가까운 거리로 생기는 접촉으로 인한 손상의 가능성을 피할 수 있다. 푸리에 변환의 특성에 의해 규칙적 패턴인 기판의 위치변화는 회절된 빛의 세기분포에는 영향을 미치지 않기 때문에 검출 알고리즘을 기존의 방식보다 더 간단하게 구현할 수 있다. 제안하는 결함 검출 방법을 전산모사와 함께 설명하고 액정디스플레이의 컬러필터 기판을 예로 실험을 통해 검증하였다.

• 한국염색가공학회지
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• 제33권4호
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• pp.202-209
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• 2021

Natural dyes are more expensive than synthetic dyes and the dyeing process, which is mainly immersion of dye, is complicated. For this reason, relatively small-scale production methods were predominant. However, awareness and interest in environmental sustainability is rising globally, and the use of synthetic dyes causes various environmental problems such as wastewater and CO₂ emission, so the consumption of natural dyes is increasing. In addition, interest in digital textile printing, an eco-friendly dyeing method that can produce products of various designs and uses less water, is growing. In this study, natural indigo dye (Indigofera tinctoria) was used as a raw material for Digital Textile Printing ink, and ¹⁴C (Biocarbon) present in it was measured to confirm whether it was derived from natural ingredients. The performance was confirmed by testing the pH, viscosity, electrical conductivity, surface tension, and particle size analysis of natural indigo ink. In addition, the performance of natural indigo DTP ink and printing fabric was evaluated by inspecting the change in color fastness and corresponding index substances before and after digital printing with natural indigo DTP ink on textiles. Through this, the possibility of commercialization of DTP ink and printing fabric using natural indigo was confirmed.