• 한국생산제조학회지
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• 제20권3호
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• pp.350-356
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• 2011

In this paper, we proposed the automatic cutting mechanism of the perforation pipes in an automobile muffler. This cutting mechanism makes continuous work possible, because it performs the batch work via the sequential operation of loading, feeding, cutting, and discharging. The proposed cutting mechanism consists of the frame unit, escape unit, turning unit, feeding unit, vision system, clamping unit, spindle/cutting unit and cooling unit. And, these mechanisms have been modularized through mechanical, dynamical and structural optimized design using the SMO (SimDesigner Motion) analysis module. Also, the virtual prototype was carried out using the 3-D CAD program. The cutting process cycle is performed in the order of loading, vision processing, feeding, clamping, cutting and discharging. And the cycle time for cutting one piece was designed to be completed in four seconds.

• 제어로봇시스템학회논문지
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• 제15권5호
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• pp.548-554
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• 2009

We propose an automatic inspection system for hologram with multiple patterns. The system hardware consists of illuminations, camera, and vision processor. Multiple illuminations using LEDs are arranged in different directions to acquire each image of patterns. The system software consists of pre-processing, pattern generation, and pattern matching. The acquired images of input hologram are compared with their reference patterns by developed matching algorithm. To compensate for the positioning error of input hologram, reference patterns of hologram for different position should be generated in on-line. We apply a frequency transformation based CGH(computer-generated hologram) method to generate reference images. For the fast pattern matching, we also apply the matching method in the frequency domain. Experimental results for hologram of Korean currency are then presented to verify the usefulness of proposed system.

• 전자공학회논문지B
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• 제28B권10호
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• pp.842-913
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• 1991

The automatic target detection which automatically identifies the location of the target with its input image is one of the significant subjects of image processing field. Then, there are some problems that should be solved to detect the target automatically from the input image. First of all, the ambiguity of the boundary between targets or between a target and background should be solved and the target should be searched adaptively. In other words, the target should be identified by the relative brightness to the background, not by the absolute brightness. In this paper, to solve these problems, a new algorithm which can identify the target automatically is proposed. This algorithm uses the set of fuzzy for solving the ambiguity between the boundaries, and using the weight according to the brightness of data in the input image, the target is identified adaptively by the relative brightness to the background. Applying this algorithm to real images, it is experimentally proved that it is can be effectively applied to the automatic target detection.

• 정보처리학회논문지D
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• 제16D권4호
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• pp.527-540
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• 2009

상태 다이어그램은 객체가 가질 수 있는 상태와 각 상태에서 수행 할 수 있는 전이를 사용하여 객체의 동적행위를 표현한다. 본 논문에서는 클래스 연산들의 선행/후행 조건들을 이용하여 상태다이어그램을 자동으로 생성하는 기법을 제안한다. 그리고 본 논문에서 제시한 기법을 구현하는 도구 SDAG(State Diagram Automatic Generation Tool)을 제작하였다. 추가적으로 생성된 상태 다이어그램의 복잡도를 감소시키기 위하여 연산의 종류를 고려한 상태 다이어그램 생성 방법과 생성된 다이어그램을 측정하는 방법을 제안하고 실험하였다.

• 한국공간정보시스템학회 논문지
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• 제4권2호
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• pp.55-64
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• 2002

효율적인 도로정보의 구축은 GIS에서 가장 중요한 주제이다. 본 논문에서는 도로정보를 자동으로 생성, 구축하기 위하여 모바일 매핑 기술과 영상인식 기술을 결합한 방법을 제안하였다. 모바일 매핑 시스템은 CCD 카메라, GPS, INS를 장착한 차량의 형태를 가지며, 취득한 영상에 나타난 공간객체의 좌표를 사진측량기법을 이용하여 계산한다. 모바일 매핑 시스템에 의한 공간객체 좌표추출과 데이터 구축은 자동화되지 않아 시간이 많이 드는 단점이 있다. 도로의 자동 인식은 영상인식 분야에서도 자동주행차량에 대한 연구의 형태로 진행되어 왔다. 그러나 영상인식에 기반한 방법들은 도로 차선에 적용할 경우 차선의 끊김 차량에 의한 가려짐 좋지 않은 날씨와 조명 등 실제의 도로나 도로변의 다양한 예외상황 때문에 원하는 결과를 얻기 힘든 경우가 많다. 이러한 단점을 보완하기 위하여 본 논문에서는 모바일 매핑 시스템으로부터 획득된 GPS/INS 데이터 및 영상인식 기술을 모두 이용한 자동 도로데이터 생성방법을 제안하였다. 영상에 나타난 도로 차선의 3차원좌표로부터 영상에서 객체가 나타날 위치를 추정하기 위한 방법을 고안하였으며, 이러한 방법은 도로 차선을 찾기 위한 복잡한 영상처리 과정을 대폭 줄일 수 있다. 예외상황 때문에 도로차선을 추출하지 못한 경우에는 스플라인 인터폴레이션에 의하여 값을 얻는다. 인터폴레이션은 교차로나 급격한 변화 지점에 따라 구분된 도로 구간 단위로 이루어진다. 본 논문에서는 제안된 객체좌표 추정방법과 인터폴레이션 기법에 대한 실험 및 결과를 제시하였다.

• PNF and Movement
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• 제17권2호
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• pp.329-337
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• 2019

Purpose: Ultrasound imaging is commonly used to measure the pennation angle of human skeletal muscles in vivo. However, manual assessment of the pennation angle using ultrasound images is subjective and time-consuming and requires a high level of examiner skill. The architectural analysis of human skeletal muscles is thus challenging. Automated approaches using image processing techniques are therefore required to estimate the pennation angle in ultrasound images. The purpose of this study was thus to assess the intra-tester and inter-tester reliability and validity of the pennation angle using an automatic measurement program. Methods: Twenty-two healthy young adults (mean age = 22.55 years) with no medical history of neurological or musculoskeletal disorders voluntarily participated in this study. Ultrasound imaging was used to measure the pennation angle of the gastrocnemius muscle at rest. One examiner acquired images from all the participants. The intra-tester and inter-tester reliability were evaluated using the intraclass correlation coefficient (ICC) to estimate reliability. Validity was measured using Pearson's correlation coefficient. Results: The intra-rater reliability was excellent for the automatic pennation angle measuring program and the manual pennation angle assessment method (ICC>0.95). The inter-rater reliability was also excellent for both methods (ICC>0.93). All the correlation coefficients for the automatic pennation angle measuring program and the manual pennation angle assessment method were 0.79, which indicated a significantly positive correlation (p<0.05). Conclusion: Pennation angle measurement using the automatic pennation angle measuring program showed acceptable reliability and validity. This study therefore demonstrated that the automatic measuring program was able to automatically measure the pennation angle of skeletal muscles using ultrasound images, and thus made it easy to investigate skeletal muscle architecture.

• 제어로봇시스템학회논문지
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• 제18권11호
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• pp.1059-1064
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• 2012

In this paper, some applications of natural language processing techniques for information retrieval have been introduced, but the results are known not to be satisfied. In order to find the roles of some classical natural language processing techniques in information retrieval and to find which one is better we compared the effects with the various natural language techniques for information retrieval precision, and the experiment results show that basic natural language processing techniques with small calculated consumption and simple implementation help a small for information retrieval. Senior high complexity of natural language processing techniques with high calculated consumption and low precision can not help the information retrieval precision even harmful to it, so the role of natural language understanding may be larger in the question answering system, automatic abstract and information extraction.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.499-503
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• 2004

This application-oriented paper describes an automated welding carriage system to weld a thin corrugated workpiece with welding seam tracking function. Hyundai Heavy Industries Corporation has developed an automatic welding carriage system, which utilizes pulsed plasma arc welding process for corrugated sheets. It can obtain high speed welding more than 2 times faster than traditional TIG based welding system. The aim of this development is to increase the productivity by using automatic plasma welding carriage systems, to track weld seam line using vision sensor automatically, and finally to provide a convenience to operator in order to carry out welding. In this paper a robust image processing and a distance based tracking algorithms are introduced for corrugated workpiece welding. The automatic welding carriage system is controlled by the programmable logic controller(PLC), and the automatic welding seam tracking system is controlled by the industrial personal computer(IPC) equipped with embedded OS. The system was tested at actual workpiece to show the feasibility and performance of proposed algorithm and to confirm the reliability of developed controller.

• 한국멀티미디어학회논문지
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• 제18권9호
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• pp.997-1007
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• 2015

In this paper, we propose a method for automatically analyzing the bone formation in a mouse model of frontal bone defect. We perforate two holes of 0.8mm diameter in the frontal bone and observe the bone formation process using a micro CT. Because the conventional analysis software of the micro CT does not support automatic analysis of the bone formation status, we have to use a manual analysis method. However the manual analysis is very cumbersome and requires a lot of time, we propose an automatic analysis method. It rotates the image around three axes directions so that the mouse's skull come into regular position. It calculates the cumulative image of the voxel values for the perforated bone surface. It estimates the hole location by finding the darkest point in the cumulative image. The proposed method was applied to 24 CT images of saline administration group and PTH administration group and hole location was estimated. BV/TV index was calculated for the estimated hole to evaluate the bone formation status. Experimental results showed that bone formation process is more active in PTH administration group. The method proposed in this paper could replace successfully the cumbersome and time consuming manual job.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.173-176
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• 2002

In this paper, we present the combined 2-D and 3-D algorithms for automatic solder paste inspection. For automatic inspection, optical system for the combined inspection and driving unit is made. One-pass run length algorithm that has fast and efficient memory space is applied to the input image fur extracting solder paste patterns. The path of probe movement is then calculated for an automatic inspection. For a fast 3-D inspection, the phase shift algorithm based on Moire interferometry is also used. In addition, algorithms used in this paper are coded by $MMX^{TM}$. A probe system is manufactured to simultaneously inspect 2-D and 3-D for 10mm$\times$10mm field of view, with resolutions of 10 $\mu\textrm{m}$for both x, y axis and 17 $\mu\textrm{m}$for z axis, and then, experiments on several PCBs are conducted. The processing times of 2-D and 3-D, excluding an image capturing, is 0.039 sec and 0.047 sec, respectively. The credible result with $\pm$ 1$\mu\textrm{m}$uncertainty can be also achieved.