• Journal of Navigation and Port Research
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• v.29 no.4
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• pp.313-318
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• 2005

Usually marine traffic survey has been conducted by some methods like an ocular observation using portable RADAR, a questionnaire, etc. But these should have expended a lot of manpower and expenses. In this paper, we have developed new observation module which could capture the RADAR image using PC camera simply, and allowed as to track targets on the PC monitor directly. And it has been programmed to make a database of RADAR image, target's track and information, and analyze the marine traffic tendency in various ways like vessel number crossed over gate line, vessel's velocity distribution in gate line, traffic density distribution, etc. We have confirmed that this module could observe and analyze the marine traffic efficiently and economically through several on-the-spot experiments.

• Journal of Biomedical Engineering Research
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• v.30 no.3
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• pp.191-198
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• 2009

Phlegm smear testing for acid-fast bacilli (AFB) requires careful examination of tubercle bacilli under a microscope to distinguish between positive and negative findings. The biggest weakness of this method is the visual limitations of the examiners. It is also time-consuming, and mistakes may easily occur. This paper proposes a method of identifying tubercle bacilli that uses a computer instead of a human. To address the challenges of AFB testing, this study designs and investigates image systems that can be used to identify tubercle bacilli. The proposed system uses an electronic microscope to capture digital images that are then processed through feature extraction, image segmentation, image recognition, and neural networks to analyze tubercle bacilli. The proposed system can detect the amount of tubercle bacilli and find their locations. This paper analyzes 184 tubercle bacilli images. Fifty images are used to train the artificial neural network, and the rest are used for testing. The proposed system has a 95.6% successful identification rate, and only takes 0.8 seconds to identify an image.

• Journal of Animal Environmental Science
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• v.6 no.2
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• pp.113-119
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• 2000

A Robotic milking cluster system with the manipulator for an automatic milking system was designed and built for farmer to work easily and comfortably during milking processing. The cluster system was composed of screws, cams and links for power transmission, DC motors, the Quick Basic one-chip microprocessor, the vision system for image processing, and tea-cups. Software, written in Visual C+ and Quick Basic, combined the function of image capture, image processing, milking cluster control, and control into one control. The unit was made to transfer from four fixed points to four teats with four teat-cups. Performance tests of the cluster unit, the fully integrated system, were conducted to attach and detach the teat-cup on the teat of a artificial cow. The transfer programming provided for a teat-cup milking loop during the system starts and comes back the original fixed point at the manipulator of it for milking. It transferred the teat-cup with a success rate of more than 70%. The average time it took ot perform the milking loop was about 20 seconds.

• Journal of Biosystems Engineering
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• v.36 no.1
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• pp.48-57
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• 2011

The computer vision system was designed and constructed to measure the weight of a dairy cattle. Its development involved the functions of image capture, image preprocessing, image algorithm, and control integrated into one program. The experiments were conducted with the model dairy cattle and the real dairy cattle by two ways. First experiment with the model dairy cattle was conducted by using the indoor vision experimental system, which was built to measure the model dairy cattle in the laboratory. Second experiment with real dairy cattle was conducted by using the outdoor vision experimental system, which was built for measuring 229 heads of cows in the cattle facilities. This vision system proved to a reliable system by conducting their performance test with 15 heads of real cow in the cattle facilities. Indirect weight measuring with four methods were conducted by using the image processing system, which was the same system for measuring of body parameters. Error value of transform equation using chest girth was 30%. This error was seen as the cause of accumulated error by manually measurement. So it was not appropriate to estimate cow weight by using the transform equation, which was calculated from pixel values of the chest girth. Measurement of cow weight by multiple regression equation from top and side view images has relatively less error value, 5%. When cow weight was measured indirectly by image surface area from the pixel of top and side view images, maximum error value was 11.7%. When measured cow weight by image volume, maximum error weight was 57 kg. Generally, weight error was within 30 kg but maximum error 10.7%. Volume transform method, out of 4 measuring weight methods, was minimum error weight 21.8 kg.

• Journal of the Korean Graphic Arts Communication Society
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• v.14 no.1
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• pp.75-88
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• 1996

Digital image capturing technology has been making great progress recently, and we can now simply capture the color image by digital camera, flat-bed scanner of Photo CD system. A lot of professionals are instrested in the capability of Photo CD and other digital images in the printing and publishing industry. But these images were not processed a suitable image processing to use in the hard copy. In this paper we described a method of the digital enhancement processiing to use in the printing and publishing industry. Experimental result show that the described method was useful and valid for the digital image enhancement to use in the hard copy.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.295-295
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• 2000

In this paper, the measurement algorithm of PCB alignment error is developed using image processing. The X-Y-$\theta$ table correcting PCB alignment error is driven by drive module based on microprocessor according to calculation results obtained through image processing procedure. In order to recognize the X-Y-$\theta$ position errors, two fiducial points are marked on PCB and two cameras of ultraviolet rays types are used for detection of the points to capture exactly fiducial points under disturbance of illumination change. Through application for a practical screen printer, the precision control using the developed position control system can be realized about 2.5${\mu}{\textrm}{m}$ in table moving range and 8${\mu}{\textrm}{m}$ in camera processing precision.

• Proceedings of the KOSOMBE Conference
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• v.1995 no.05
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• pp.164-166
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• 1995

The objectives of study are to develop a peripheral device on the endoscopic surgery system. These systems are consist of the following units. They are a color monitor of high resolution, light source, computer system and endoscopic camera with a C-mount head, irrigator, color video printer, Super VHS recorder and a system rack. The color monitor is a NTSC monitor for monitoring the image projected of the surgical section. The lightsource is necessary to irradiate the interior of a body via an optic fiber, The light projector will adapt the brightness in accordance with changing distance from the object. A miniature camera using a color CCD chip and computer system is used to capture and control an image of the surgical section[1]. The video printer is a 300 DPI resolution using thermal sublimation methods, which is developed by Samsung Electronics Co., Ltd. The specification of the endoscopic data management system is consist of storage of a captured image and pathological database of patients [2-4].

• The Journal of the Korea Contents Association
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• v.5 no.5
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• pp.145-151
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• 2005

We can define the procedure of Authoring that it makes area cord and the reproduction prevent menu programmed into MPEG II video stream , Audio which is AC-3 audio stream and subtitle under its own category. And it makes process an attribute, an order and an operation, gives the last disk image, Which is DVD(digital versatile disc). There are various process of Authoring tools in the market so that authoring tools can enable, encourage, and assist users ('authors') in the selection of tools that produce simple title, video production and editing suites. In this paper, we will compare and analyze authoring process in which image and sound are authorized into DVD with IEEE 1394port between Window system using generally with Desktop PC and the Macintosh that is based on OSX.

• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.17-22
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• 2023

In this paper, we propose a black ice detection system using Convolutional Neural Networks (CNNs). Black ice poses a serious threat to road safety, particularly during winter conditions. To overcome this problem, we introduce a CNN-based architecture for real-time black ice detection with an encoder-decoder network, specifically designed for real-time black ice detection using thermal images. To train the network, we establish a specialized experimental platform to capture thermal images of various black ice formations on diverse road surfaces, including cement and asphalt. This enables us to curate a comprehensive dataset of thermal road black ice images for a training and evaluation purpose. Additionally, in order to enhance the accuracy of black ice detection, we propose a multi-scale dilation convolution feature fusion (MsDC-FF) technique. This proposed technique dynamically adjusts the dilation ratios based on the input image's resolution, improving the network's ability to capture fine-grained details. Experimental results demonstrate the superior performance of our proposed network model compared to conventional image segmentation models. Our model achieved an mIoU of 95.93%, while LinkNet achieved an mIoU of 95.39%. Therefore, it is concluded that the proposed model in this paper could offer a promising solution for real-time black ice detection, thereby enhancing road safety during winter conditions.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1998.06a
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• pp.171-182
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• 1998

An automated surface-strain measuring system using the image processing technique is developed in the present study, which consists of the hardware to capture and to display digital images, and the software to calculate the 3D informations of grid points from two views. New or improved algorithms the mapping and establishing correspondence of grid points and elements, the camera calibration, and the subpixel measurement of grid points, are implemented. As an application of the present system the surface-strains of deformed blanks in the limitting dome height test, the square cup deep-drawing and punch stretching to obtain the forming limit diagram are measured. The results are compared with those obtained by conventional manual methods.