• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.37-43
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• 2015

Technical treatments of image contents on the web include the copy protection method such as the image capture protection technology and the traitor tracing method to detect unauthorized duplications through watermarking insertion or feature information technology. However, these two methods have their own weaknesses. The image capture protection method is unable to protect illegal captures when the URLs of image sources are exposed. The traitor tracing method is fundamentally unable to protect illegal captures due to its post-treatment method. Besides, the weakness of using the copyright information display technology involves easy removal of copyright information from copyrighted contents. This paper suggests a model of the web image contents protection system which makes it hard to separate copyright information from web image contents and allows image contents to be shown only in the authorized websites.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.799-801
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• 2004

본 논문에서는 이미지 캡처 시스템을 이용하여 얻은 바코드의 분석에 대해서 소개하고 있다. 성공적인 바코드 분석을 위해서는 포착된 이미지에 나타나는 회전정도, 거리, 밝기 등의 중요 요소에 대한 분석을 통하여 최적의 조건 및 이론을 찾아야 한다 이를 기초로 중요 요소에 대하여 실험을 통하여 분석한다.

• 대한방사선치료학회:학술대회논문집
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• 2004.03a
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• pp.8-8
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• 2004

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.2
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• pp.471-476
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• 2004

This paper presents an active vision system for on-line traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto lends, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color, intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a large size in the image. The recognition algorithm is designed by intensively using built in functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition. The results of on-road experiments show the feasibility of the system.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.11-16
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• 1997

This paper describes the grenade counting system developed for DPICM submunition analysis using the infrared video streams, and its some video stream processing technique. The video stream data processing procedure consists of four sequences; Analog infrared video stream recording, video stream capture, video stream pre-processing, and video stream analysis including the grenade counting. Some applications of this algorithms to real bursting test has shown the possibility of automation for submunition counting.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.6
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• pp.153-159
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• 2010

This article presents a method that improve the drive-license test system, especially the course-driving by using the image processing. Decision(pass or not) is recorded and informed to test-driver after the image processing such as image capture, grayscaling, normalization, Hough transform and decision. That result system enables us to manage much more economically and effectively.

• Fashion & Textile Research Journal
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• v.4 no.3
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• pp.284-288
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• 2002

In this research, a new quantitative fabric drape evaluation system has been developed using image processing technology. The purpose of this research is to get the more detailed information of fabric drapability quantitatively from digital images captured with a digital camera generally commercialized. The shape parameters of a 3-dimensional geometric drape model were defined as the number of nodes, frequency and amplitude. Also, various statistical information of drape shapes can be obtained using image processing technology and frequency analysis as well as traditional drape coefficients. Hardware system to capture drape images is simply composed of three parts including a digital USB (Universal Serial Bus) camera, a frame cover and a stand for camera to attach to traditional drape tester. The evaluation software coded with the MS Visual C++ is operated under the MS windows 9x above.

• Smart Media Journal
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• v.12 no.9
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• pp.45-59
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• 2023

Weakly supervised object localization (WSOL) is a task of localizing an object in an image using only image-level labels. Previous studies have followed the conventional class activation mapping (CAM) pipeline. However, we reveal the current CAM approach suffers from problems which cause original CAM could not capture the complete defects features. This work utilizes a convolutional neural network (CNN) pretrained on image-level labels to generate class activation maps in a multi-scale manner to highlight discriminative regions. Additionally, a vision transformer (ViT) pretrained was treated to produce multi-head attention maps as an auxiliary detector. By integrating the CNN-based CAMs and attention maps, our approach localizes defective regions without requiring bounding box or pixel-level supervision during training. We evaluate our approach on a dataset of apple images with only image-level labels of defect categories. Experiments demonstrate our proposed method aligns with several Object Detection models performance, hold a promise for improving localization.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.5
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• pp.34-41
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• 1997

The dimension measurement problem of products has been a major concern in the quality control in the industrial fields. A non-contacting measurement system using the vision sensor is proposed in this paper. The system consists of a CCD camera for the image capture, a frame grabber for the acquired image processing, a laser unit for the illumination, scanning unit for the measurement, and a personal computer for the geometry computation. The slit beam which is generated by passing the laser beam through a cylin- drical lens is fired to the axial-symmetric object on the rotating plate. The image of objects reflected by the laser slit beam, acquired by the CCD camera, becomes much brighter than the other parts of objects. After the histogram of brightness for the captured image is calculated, low intensity pixels are filtered out by threshold method. The performance of proposed measurement system is obtained for several different axial symmetric objects. The proposed system is verified as a good tool for measuring axial-symmetric parts in a limited condition with a minor investment cost.

• Proceedings of the KIEE Conference
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• 2007.11c
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• pp.112-116
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• 2007

If any of the set parameters such as the environment temperature, mold temperature are not maintained at a consistent level, the fail rate of injection molding products is increased. The price of the injection molding machine is very high, so in order to maximize the utilization of the machine that is required the production of a number of different products with minimum fail rate using a single machine. To prevent the defect products by an inspection process with perfect quality is very important to minimizing production of defect products in the molding process. Vision inspection systems are widely utilized in various manufacturing industries for quality assurance purposes. The vision inspection system consists of CCD camera and lighting system to capture the image of the subject of inspection, an image comparison algorithm using to determine the pass/fail of the products, and mechanical devices for the operation of the whole system. This research focuses on the development of the vision inspection system to process the inspection of an automobile parts. We developed a mechanical devices for the inspection of the injection molding products and an image comparison algorithm to determine the pass/fail result of the inspection based on the molding image and the accepted product image.