11 research outputs found

    A visual feedback system for micromanipulation with stereoscopic microscope

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    A stereoscopic microscope is widely used in a micromanipulation such as to operate genes and to inspect integration circuits. As in these tasks the micromanipulation is handled and makes too heavy burden to operators, it is desirable to perform the micromanipulation automatically. In this paper, we propose a visual feedback system for micromanipulation with stereoscopic microscope. This system takes less time to control the manipulator by reducing searching area to detect an object </p

    Image Processing Techniques for Flow Patterns in the Seto Inland Sea Hydraulic Model

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    Various flow visualization techniques were applied to study the tidal exchange of the Seto Inland Sea with the largest hydraulic model in a horizontal scale 1/2000. To analyze dyefront patterns, image processing techniques have been developed. The techniques include the extraction of the boundary of the dyefront and the flow direction through tuft images.近年、瀬戸内海地域では過去の産業発展や人口増加に伴って発生した水質汚濁も改善されてきており、将来に向けた海の積極的利用が模索されている。水質汚濁シミュレーションを行うために建設された瀬戸内海大型水理模型も、こうした動きの中で、人為的な流動環境操作法に基づく海の有効利用を図るための手段として活用される方向にある。このような海域流動環境の制御効果を評価するためには、物質輸送に関わる流れを的確に捉えることが必要である。最近のコンピュータや画像処理技術の発展に伴って、流れの可視化で得た画像から流れの定量的な情報を求める研究が進められている。これらの研究においては、可視化手法としてトレーサ直接注入法を用いて個々のトレーサ粒子あるいはトレーサ粒子群の移動から流速ベクトル分析が求められている。筆者らはさきに瀬戸内海大型水理模型内に放流した染料の拡がりを検出するための画像処理手法について報告した。本論文では、染料とタフトを併用した可視化手法により経時的に一定間隔で得られた一連の流れパターンから、水理模型の広島県呉湾での流速ベクトル分析を求める画像解析手法と結果について述べる

    Detection of a particular object from environmental images under various conditions

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    In a current study of environmental information, it is important to detect the particular object from environmental images under various conditions for security such as navigation system of ships, bird-watching for the prevention of various damage, invaders check and human rescue in the marine casualty. This paper deals with the image processing techniques for the detection of the rescue target as a particular object from environmental images. When a marine casualty occurs the detection of the rescue target such as life rafts depends on the visual search of human eyes. It is predicted, however, that human eyes sometimes lose their sight and the ability of the detection falls owing to the long flight and a bad weather. For a practical purpose of the prompt rescue of human life, the development of the searching support system in place of human eyes is required. To realize a new type searching system for the detection of the rescue target, the development of new type image processing techniques in real time manner is important. At the first step of our study, we attempt to develop image processing techniques, in order to accurately detect the rescue target under various </p

    Detection of a particular object from motion images under bad condition

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    This paper deals with the detection of the rescue target as a particular object from motion images under bad conditions. When shipwrecks occur, the search activities of rescue are done using an airplane. The detection of the rescue target such as a life raft depends on visual search of human eyes. To detect a small rescue target in the wide sea, the searcher man must monitor motion sights in nasty weather. In order to carry out the prompt rescue of human life, development of searching support system using image processing techniques in place of the human eye is required It is very difficult to process the motion images taken by the airplane, because these images are inferior due to shaking of the airplane, sunshine reflections and crest waves under bad conditions. We make a simulation experiment for detection of the rescue target from images. To get basic design data for development of the searching system in the case of a marine casualty, we propose motion image processing techniques using improved S/N ratio and dynamic range of the image data of the rescue target in the motion images under bad conditions </p

    Development of image analysis for detection of defects of BGA by using X-ray images

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    In the surface mount technology, Ball Grid Array (BGA) has been used in a production of PC boards, because of their excellent characters such as high density of the lead pin pitch, better lead rigidity and self-alignment during re-flow processing. This paper deals with the development of image analysis for the detection of defects at BGA solder joints in PC boards by using X-ray images. In the conventional IC boards, it is possible to detect defects of solder joints by visual inspection, because the lead of IC package is set on its outside. However, we can't detect visually defects at BGA solder joints, because they are hidden under the IC package. In a production line, the inspection of BGA in PC boards depends on the function test of electric circuits in the final process. To improve a cost performance and the reliability of PC boards, an inspection of BGA is required in the surface mount process. Types of defects at BGA solder joints are solder bridge, missing connection, solder voids, open connection and miss-registration of parts. As we can find mostly solder bridge in these defects, we pick up this to detect solder bridge in a production line. The problems of image analysis for the detection of defects at BGA solder joints are the detection accuracy and image processing time according to a line speed of production. To get design data for the development of the inspection system, which can be used easily in the surface mount process, it is important to develop image analysis techniques based on X-ray image data. At the first step of our study, we attempt to detect the characteristic of the solder bridges based on an image analysis. </p

    Image processing technique for detection of a particular object from motion images

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    This paper deals with the detection of the rescue target as a particular object from motion images under bad weather conditions. When shipwrecks occur, the searching activities for rescue is done using an airplane. The detection of the rescue target such as life rafts depends on a visual search by human eyes. To detect a small rescue target in a wide sea area, the searching man must monitor motion sights under nasty weather. The human eyes sometimes loses its sight and the ability of detection fails owing to the long flight and the nasty weather. To support the searching activities in the case of a marine casualty, we propose motion image processing techniques using the improved S/N ratio and dynamic range of the image data of the rescue target in the motion images under bad conditions </p

    Detection of defects at BGA solder joints by using X-ray imaging

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    In the surface mount technology, a ball grid array (BGA) has been used in the production of PC boards. This paper deals with the detection of defects at BGA solder joints in PC boards by using X-ray imaging. Types of defects at BGA solder joints are solder bridge, missing connection, solder voids, open connection and misregistration of parts. The problems of image analysis for the detection of defects at BGA solder joints are the detection accuracy and image processing time according to the speed of the production line. To get the design data for the development of the inspection system used in the surface mount process, it is important to develop image analysis techniques based on X-ray image data. At the first step of our study, we attempt to detect the characteristics of the solder bridges based on the image analysis technique. </p

    Image Processing Techniques for Flow Patterns in the Seto Inland Sea Hydraulic Model

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    Various flow visualization techniques were applied to study the tidal exchange of the Seto Inland Sea with the largest hydraulic model in a horizontal scale 1/2000. To analyze dyefront patterns, image processing techniques have been developed. The techniques include the extraction of the boundary of the dyefront and the flow direction through tuft images.近年、瀬戸内海地域では過去の産業発展や人口増加に伴って発生した水質汚濁も改善されてきており、将来に向けた海の積極的利用が模索されている。水質汚濁シミュレーションを行うために建設された瀬戸内海大型水理模型も、こうした動きの中で、人為的な流動環境操作法に基づく海の有効利用を図るための手段として活用される方向にある。このような海域流動環境の制御効果を評価するためには、物質輸送に関わる流れを的確に捉えることが必要である。最近のコンピュータや画像処理技術の発展に伴って、流れの可視化で得た画像から流れの定量的な情報を求める研究が進められている。これらの研究においては、可視化手法としてトレーサ直接注入法を用いて個々のトレーサ粒子あるいはトレーサ粒子群の移動から流速ベクトル分析が求められている。筆者らはさきに瀬戸内海大型水理模型内に放流した染料の拡がりを検出するための画像処理手法について報告した。本論文では、染料とタフトを併用した可視化手法により経時的に一定間隔で得られた一連の流れパターンから、水理模型の広島県呉湾での流速ベクトル分析を求める画像解析手法と結果について述べる

    A visual feedback system for micromanipulation with stereoscopic microscope

    No full text
    A stereoscopic microscope is widely used in a micromanipulation such as to operate genes and to inspect integration circuits. As in these tasks the micromanipulation is handled and makes too heavy burden to operators, it is desirable to perform the micromanipulation automatically. In this paper, we propose a visual feedback system for micromanipulation with stereoscopic microscope. This system takes less time to control the manipulator by reducing searching area to detect an object </p

    Detection of Defects of BGA by Tomography Imaging

    No full text
    To improve a cost performance and the reliability of PC boards, an inspection of BGA is required in the surface mount process. Types of defects at BGA solder joints are solder bridges, missing connections, solder voids, open connections and miss-registrations of parts. As we can find mostly solder bridges in these defects, we pick up this to detect solder bridge in a production line. The problems of image analysis for the detection of defects at BGA solder joints are the detection accuracy and image processing time according to a line speed of production. To get design data for the development of the inspection system, which can be used easily in the surface mount process, it is important to develop image analysis techniques based on the X-ray image data. We attempt to detect the characteristics of the defects of BGA based on an image analysis. Using the X-ray penetration equipment, we have captured images of an IC package to search an abnormal BGA. Besides, in order to get information in detail of an abnormal BGA, we tried to capture the tomographic images utilizing the latest imaging techniques
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