• 동의생리병리학회지
• /
• 제19권5호
• /
• pp.1437-1442
• /
• 2005

Tongue Diagnosis is the important traditional oriental medical diagnosis method that observes not only the general physiological state but also some kinds of disease. However, manual tongue diagnosis is much influenced by surrounding illumination. Therefore, Digital Tongue Inspection System(DigiTis) is needed for the quantification of objective tongue information, In this research, Tongue images of 98 malignant Neoplasm patients and 34 normal persons were collected by Digital Tongue Inspection System. Statistical analysis of tongue images and patient data indicates that cancer group has more blue-purple components in tongue body(舌質) and yellow components in tongue coating than normal group. Also, there are a lot of rose-pink components in the cancer group of second stage and blue-purple components in the cancer group of third or fourth stage. Our study shows that tongue image is a useful index for distinction between disease and health. Furthermore we need more extended research through the additional sampling and various disease.

• Smart Structures and Systems
• /
• 제13권6호
• /
• pp.901-925
• /
• 2014

The reliability of a Bridge management System depends on the quality of visual inspection and the reliable estimation of bridge condition rating. However, the current practices of visual inspection have been identified with several limitations, such as: they are time-consuming, provide incomplete information, and their reliance on inspectors' experience. To overcome such limitations, this paper presents an approach of automating the prediction of condition rating for bridges based on digital image analysis. The proposed methodology encompasses image acquisition, development of 3D visualization model, image processing, and condition rating model. Under this method, scaling defect in concrete bridge components is considered as a candidate defect and the guidelines in the Ontario Structure Inspection Manual (OSIM) have been adopted for developing and testing the proposed method. The automated algorithms for scaling depth prediction and mapping of condition ratings are based on training of back propagation neural networks. The result of developed models showed better prediction capability of condition rating over the existing methods such as, Naïve Bayes Classifiers and Bagged Decision Tree.

• 디지털산업정보학회논문지
• /
• 제7권4호
• /
• pp.81-88
• /
• 2011

Mini Double Gears Frame is critical part of PDP and also produces couple hundred thousand every month. In the process of mass production, product inspection is very important process. Double Gear, one of the part of machine, was inspected by human eyes which caused mistakes and slow progress. To achieve the speed and accuracy the system was compensated by vision system which is inspecting automatically. The focus value is measured based on the fact that high contrast images have much high frequency edge information. High frequency term of the image is extracted using the high-pass filter and the sum of the high frequency term is used as the focus value. We used a Gaussian smoothing filter to reduce the noise and then measures the focus value using the modified Laplacian filter called a Sum modified Laplacian Focus values for the various lens positions are calculated and the position with the maximum focus value is decided as the focused position. The focus values calculated in various lens position showed the Gaussian distribution. We proposed a method to estimate the best focus position using the Gaussian curve fitting. Focus values of the uniform interval lens positions are calculated and the values are used to estimate the Gaussian distribution parameters to find the best focus position.

• 제어로봇시스템학회논문지
• /
• 제7권3호
• /
• pp.246-254
• /
• 2001

In this paper, we described an approach to the automation of visual inspection of BGA solder joint defects of surface mounted components on printed circuit board by using neural network. Inherently, the BGA solder joints are located underneath its own package body, and this induces a difficulty of taking good image of the solder joints by using conventional imaging systems. To acquire the cross-sectional image of BGA sol-der joint, X-ray cross-sectional imaging method such as laminography and digital tomosynthesis has been cur-rently utilized. However, the cross-sectional image obtained by using laminography or DT methods, has inher-ent blurring effect and artifact. This problem has been a major obstacle to extract suitable features for classifi-cation. To solve this problem, a neural network based classification method is proposed int his paper. The per-formance of the proposed approach is tested on numerous samples of printed circuit boards and compared with that of human inspector. Experimental results reveal that the method provides satisfactory perform-ance and practical usefulness in BGA solder joint inspection.

• 디지털융복합연구
• /
• 제12권3호
• /
• pp.37-53
• /
• 2014

지방자치단체에 의한 감사는 지방자치단체의 내부 통제를 개선하고 자신들의 정책을 진단하여 관리능력을 향상시키며 정책 오류를 예방하는 역할을 한다. 그러나 자기기관 감사와 검사 수준은 매우 낮은 실정이다. 이는 전문가 수준의 직원보다 빈번한 순환 보직으로 실무 경험이 미흡한 감사요원을 배치하기 때문이다. 이러한 문제를 극복하고 지방자치단체의 자체감사기능을 강화하기 위하여 여러 가지 감사환경을 고려한 솔루션으로 새로운 시스템을 제안한다. 본 연구는 지방감사의 문제점을 찾아 자체 감사평가시스템의 새로운 체계를 제시하였다. 자체전자감사평가시스템은 자체기관 감사 및 검사를 강화하여 궁극적으로 지방정부의 역량을 강화시킬 것이다.

• 한국컴퓨터정보학회논문지
• /
• 제23권8호
• /
• pp.1-7
• /
• 2018

Previous test equipment was bulky, took a long time to check, and was somewhat less economical. Since most of the checks were about analog signals, we preferred to check them using reference equipments. In this paper, a digital circuit design based on AITS is used to implement signals that can not utilize commercial measurement resources, and also designed and manufactured equipment that can inspect SRU. These test equipments were tested and evaluated by development, operation, and field evaluation, and they were installed to the Korean Field Force. This contributed to the improvement of operability by shortening the inspection time from 83.2 minutes to 7.8 minutes on average In addition, it did not utilize the reference equipment, so it could play a big role in lowering the mass production cost.

• 소성∙가공
• /
• 제11권7호
• /
• pp.620-627
• /
• 2002

The purpose of this paper is the development of an automated measurement system for micro spring based on the digital image processing technique. This micro spring can be used in various engineering applications such as filament, load bearing springs, hard disk suspension and many others. Main functionality of the micro spring inspection system is to measure the representative pitch of the micro spring. The derivative operators are used for edge detection in gray level image. Measurement system developed in this paper consisted of new auto feeding mechanism to take advantage of air pressure. In the process of development of the micro spring inspection system based on the image processing and analysis, strong background technology and know-how have been accumulated to measure micro mechanical parts.

• 대한기계학회논문집
• /
• 제13권3호
• /
• pp.443-450
• /
• 1989

본 연구에서는 공작기계 생산 현장에서 직접적으로 이용될 수 있는 측정시스 템의 개발을 목표로 이제까지 이론적으로 제안된 스핀들 정밀도 측정방법을 종합 분석 하여 디지틀 측정의 기본이론을 정립하고 이를 기반으로 마이크로 컴퓨터를 이용한 측정시스템을 실계 제작하였다.또한 실험을 통하여 본 연구에서 제안된 측정 시스 템의 성능을 기존의 애널로그 측정방법과 비교 검토함으로써 본 방법의 우수성 및 제한점을 실증적으로 입증하고자 하였다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2003년도 ICCAS
• /
• pp.2063-2065
• /
• 2003

The control rod drive mechanisms in a reactor head are arranged too narrow for a human worker to approach. Moreover, the working environment is in high radiation area. In order to inspect defections in the surfaces of the reactor head and welding parts, a visual inspection device that can approach such a narrow and high radiation area is required. This paper introduces a tele-operated mobile robot for visual inspection of a reactor head, which has pan/tilt camera, fixed rear camera, ultrasonic collision detection system, and so on. Moreover, the host controller and digital video logging system are developed and integrated control software is also developed. The robot is operated by a wireless control, which gives flexibility for the inspection.

• 한국염색가공학회지
• /
• 제21권1호
• /
• pp.53-58
• /
• 2009

A real-time inspection system has been developed by combining CCD based image processing algorithm and a standard lighting equipment. The system was tested for defective fabrics showing nozzle contact scratch marks, which were one of the frequently occurring defects. Multi-resolution analysis(MRA) algorithm were used and evaluated according to both their processing time and detection rate. Standard value for defective inspection was the mean of the non-defect image feature. Similarity was decided via comparing standard value with sample image feature value. Totally, we achieved defective inspection accuracy above 95%.