• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.1
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• pp.99-105
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• 2009

Recently the research is much interested in about the inspection system using by computer vision system. In this paper, we deal with shape inspection technique for moving to be long and narrow object on conveyor belt. first, we are acquired for moving object on conveyor belt. then the object segmentation is using by color information for background and object. the object position be calculated by horizontal and a vertical histogram. second, we are checked for two hole in front part, widths and top/bottom side information in middle part, and finally checking for two holes in rear part. The performance of our proposed model is evaluated by experiments, within error of 1㎜, and can be checking to 17 object /min.

• KEPCO Journal on Electric Power and Energy
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• v.2 no.2
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• pp.293-298
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• 2016

Recently, interests for maintenance of transmission tower are increasing to extend life of structures and reduce maintenance cost. However, existing classical diagnosis method of corrosion deteriorated degree on the transmission tower steel members, visual inspection, has a problem that error often due to difference of inspector's individual knowledge and experience. In order to solve the problem, this study carried out to develop the corrosion deterioration inspection tool for transmission tower steel members. This tool is composed of camera equipment and computer-aided diagnosis system. We standardized the photographing method by camera equipment to obtain suitable pictures for image processing. Diagnosis system was designed to evaluate automatically degree of corrosion deterioration for member of transmission tower on the basis of the RGB color image processing techniques. It is anticipated that developed the corrosion deterioration inspection tool will be very helpful in decision of optimal maintenance time for transmission tower corrosion.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.4
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• pp.69-74
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• 2004

In this paper, we propose a novel method for improving defect-detection performance based on reconstruction of line-scan camera images using both the projection profiles and color space transform. The proposed method consists of RGB region segmentation, representative value reconstruction using the tracing system, and Y image reconstruction using color-space transformation. Through experiments it is demonstrated that the performance using the reconstructed image is better than that using aerial image for LCD surface inspection.

• Journal of Korea Multimedia Society
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• v.14 no.3
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• pp.356-367
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• 2011

In this paper, we proposed a new car engine sealing inspection system based on image processing and understanding. The car engine sealing inspection plays very important role for protecting leakage caused by inappropriate sealing, which is a crucial point for productivity of car engines. The proposed inspection system has been aimed to enhance the previously proposed sealing inspection systems based on image processing, which have high computation complexity and low performance for correctly inspecting some contamination by oil with similar color with that of sealing. Moreover, the previously proposed system has a difficulty in installing the camera system on the sealing machine. The proposed system considers a difference of images before and after sealing obtained from one static camera. By utilizing a difference of images, the proposed system shows very robust performance using a proposed simple depth checking algorithm for some contamination cases by oil with similar color with that of sealing and the total inspection system is simple and cheap to implement. According to the experiments conducted in a real car product line, the proposed inspection system shows better inspection performance and needs smaller implementation cost than three other previously proposed system working in current car sealing inspection systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.2C
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• pp.184-191
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• 2008

Oriental base diagnosis method is not going to hospital different from Oriental medicine and because of the possible disease diagnosis through the network and many communication equipment. Especially diagnosis development using ocular inspection method aspect of Oriental medicine among an aging society advance into cut the medical cost for contribution. Ocular inspection method the most important look at disease color that is Observing a Person's Shape and Color which is implementation the development of methodology and important the build of application ability system. So in this paper study observing a person's shape and color implementation of ocular inspection. Specially body's the five viscera presentate the five colors disease color in face that is important the color coordinate system thesis so that proceed the experiment for the color coordinate system analysis. Finally five color extract need the observing a person's shape and color through experiment select the digital color system and so real skin color analysis and comparison about the experiment which suggest the something to color coordinate system the best case of digital color system for observing a person's shape and color implementation.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.11
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• pp.1089-1095
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• 2010

We propose an image segmentation method for auto-teaching system of PCB (Printed Circuit Board) assembly inspection machines. The inspection machine acquires images of all components in PCB, and then compares each image with its standard image to find the assembly errors such as misalignment, inverse polarity, and tombstone. The component window that is the area of component to be acquired by camera, is one of the teaching data for operating the inspection machines. To reduce the teaching time of the machine, we newly develop the image processing method to extract the component window automatically from the image of PCB. The proposed method segments the component window by excluding the soldering parts as well as board background. We binarize the input image by use of HSI color model because it is difficult to discriminate the RGB colors between components and backgrounds. The linear combination of the binarized images then enhances the component window from the background. By use of the horizontal and vertical projection of histogram, we finally obtain the component widow. The experimental results are presented to verify the usefulness of the proposed method.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.17 no.2
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• pp.131-155
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• 2013

Objectives A study on the importance of observing face color in the Dongeuibogam and the other things to know when we observe face color. Methods We used Deyuk Dongeuibogam of Dongeuibogam publishing company from original photographic edition. Results (1) In all section(ex. Naekyungpyeon, Oehyeongpyeon and Japbyoungpyeon), the chapters related with observing face color were fifty-one. In Naekyungpyeon, the chapters related with observing face color were nineteen(37%). In Oehyeongpyeon, the chapters related with observing face color were ten(20%). In Japbyoungpyeon, the chapters related with observing face color were twenty-two(43%). In all section(ex. Naekyungpyeon, Oehyeongpyeon and Japbyoungpyeon), the statements related with observing face color were three-hundred and nine. In Naekyungpyeon, the statements related with observing face color were sixty-four(21%). In Oehyeongpyeon, the statements related with observing face color were fifty-two(17%). In Japbyoungpyeon, the statements related with observing face color were one hundred ninety-three(62%). (2) In each chapter, the number of statement related with observing face color was studied. Pediatric Chapter (75) were the most common, followed by The way of finding the cause of a disease (27) Face (26) Cold (24) Weak&Fatigue (12) Phlegm, Jaundice (8) Nose, Worm, Chronic indigestion (7) Mouth&Tongue, Woman, Stool (6) Bodyshape, Liver, Heart, Kidney, Cough (5) Eye, Carbunculosis (4) Blood, Voice, Spleen, Lung, Chest, Fire, Edema, Detoxification (3) in order. (3) In each section(ex. Naekyungpyeon, Oehyeongpyeon and Japbyoungpyeon), the rate of chapter related with observing face color was studied. Naekyungpyeon(73%) was the highest. Japbyoungpyeon(61%). Oehyeongpyeon(38%) was the lowest. Conclusions The importance of each chapter for observing face color in the Dongeuibogam was studied. In addition, the entire ocular inspection, the part ocular inspection, moisture and the difference of skin according to the personal constitution should be considered. There are not only the important parts of the past that does not mean but also the unimportant parts of the past that are meaningful now. Additional studies will be needed for the latter.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.536-542
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• 1994

This paper introduces a vehicle-following-system in which a moving vehicle recognizes the front vehicle's tail-light color and luminance, while maintaining a certain distance and avoiding collision. Using color images rather than using gray-scale images makes it easier to detect the objective color and eliminates the need of a thresholding. The Methods used are RGB to HSV conversion and global region growing method. This paper contributes to the basic study of Color-Vision, and can be extended to color inspection systems.

• Journal of the Korean institute of surface engineering
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• v.54 no.2
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• pp.84-89
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• 2021

The visual inspection method is widely used for corrosion damage analysis of steel plate due to the cost-efficient, fast and reasonably accurate results. However, visual inspection of corrosion deteriorated degree has a problem that the reliability of results differs depending on the inspector's individual knowledge and experience. In this study, we evaluated the degree of corrosion from a given image by using image segmentation method based on the grabcut and HSV(Hue, Saturation, Value) color image processing techniques for the development of an automatic inspection tool. The code written in Python based OpenCV-python libraries was used to categorize the images.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.3
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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.