• Proceedings of the Optical Society of Korea Conference
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• 2007.07a
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• pp.367-368
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• 2007

Dissection of rat hippocampus using high-definition stereoscopic microscope system is demonstrated. Many surgical operation or animal anatomies are anatomized with stereoscopic microscope. With stereoscopic microscope system, the environments of operation is important factor to dissector. Lights, resolution of acquired stereo images, reflected on the liquid, colors and eye fatigue are fatal factors to dissector. We reduced reflections with two incident angle of lights at 45 degree and used a complementary color at the basement and reform the stereoscopic microsystem. Dissector has felt more comfortable after compensation and operation time is more continuous.

• 한국정보디스플레이학회:학술대회논문집
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• 2002.08a
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• pp.914-917
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• 2002

We have obtained high performance and low voltage driving OCB panel by reducing the critical voltage and retardation matching between liquid crystal layer and compensation films. The critical voltage in the panel has been minimized by flattening color filter layer and optimizing a rubbing process. In addition, an appropriate retardation of the film and LC layer has scanned to achieve low driving voltage and high transmission. The proto-type 17" WXGA OCB panel has demonstrated with less than 5V drive and over 80 degree for all viewing direction except for rubbing direction with over 90% of TN light efficiency.

• 한국정보디스플레이학회:학술대회논문집
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• 2002.08a
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• pp.167-170
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• 2002

We have proposed new pixel structures for Active Matrix OELD (AMOELD) to improve the uniformity of luminance and manufactured a full-color 3.6-inch QVGA AMOELD. The proposed pixel structures, composed of four TFTs and one capacitor, can display 64 gray scales by compensating threshold voltage (Vth) variation of driving TFTs. Nonuniformity and peak intensity of measured luminance are under 14% and over $200cd/m^2$, respectively.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.889-891
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• 2005

본 논문에서는 실시간 영상을 대상으로 조명변화에 강인한 얼굴 영역 자동 검출 방법을 제안한다. 실시간 영상에서 가장 효율적이고 컴퓨터의 계산량을 줄일 수 있는 색상 정보를 이용하여 얼굴 영역을 추출함에 있어 색상 정보사용 시 단점인 외부 조명의 영향을 줄여주는 효과적인 조명 보정 방법을 제시하고 조명 보정에 의해 평활화된 영상에서 YCbCr 색상모델을 적용하여 얼굴 후보 영역을 검출하는 방법을 제시한다. 실험 결과 조명의 영향을 많이 받는 실시간 영상에서 적응적 조명 보정 방법으로 영상을 향상시킨 뒤 Cb, Cr 그리고 Y를 이용함으로서 기존의 방법보다. 얼굴 영역을 보다 정확하게 검출할 수 있음을 볼 수 있었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.6C
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• pp.593-603
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• 2009

In this paper, we propose a new integrated computer vision system designed to track multiple human beings and extract their silhouette with an active stereo camera. The proposed system consists of three modules: detection, tracking and silhouette extraction. Detection was performed by camera ego-motion compensation and disparity segmentation. For tracking, we present an efficient mean shift based tracking method in which the tracking objects are characterized as disparity weighted color histograms. The silhouette was obtained by two-step segmentation. A trimap is estimated in advance and then this was effectively incorporated into the graph cut framework for fine segmentation. The proposed system was evaluated with respect to ground truth data and it was shown to detect and track multiple people very well and also produce high quality silhouettes. The proposed system can assist in gesture and gait recognition in field of Human-Robot Interaction (HRI).

• Journal of the Korean Society of Food Culture
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• v.12 no.5
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• pp.477-493
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• 1997

The consumers' purchase experiences of some imported agricultural products (rice, sesame, garlic, onion, jujube, red pepper, oak mushroom, apple, dried persimmon) and their consciousness for the labelling of the country of origin for agricultural products in Youngnam region were examined in this study. The sample consisted of 438 women who lived in Taegu, Pusan and other cities of Kyungpook and Kyungnam, and the self-administered questionnaire for the survey was used. The main reasons to purchase the imported agricultural products were the wide distribution and low price of them. Most of the consumers were concerned about safety of the imported agricultural products but only a few people experienced unsatisfaction of the products. The price, quality, package, container, label, and safety of the examined products were evaluated worse than those of the domestic products. Generally, although they suffered unsatisfaction, the consumers did not complain because they wanted to avoid troublesome work, which means the consumers did not assert their rights. Some people did not know the labelling system for the country of origin and the place to charge the market violating it. Therefore, it will be necessary for the consumers to receive education about the labelling system for the country of origin and the compensation criteria for consumers' grievances and damages. The current labelling method for the country of origin generally met the consumers' preference but the consumers wanted to improve the position and color of the label. Most consumers could not differentiate the imported products from the domestic products. The results obtained from the survey suggest consumer education for the labelling system for the country of origin and the compensation criteria should be activated through various ways such as mass media and consumer organizations.

• Journal of Broadcast Engineering
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• v.18 no.2
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• pp.159-166
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• 2013

In this paper, we propose a transmission rate compensation method to remove a haze of an image by using edge information of a haze image and image segmentation. With a hazed image, it is difficult not only to recognize objects in the image but also to use an image processing method. One of the famous defogging algorithm named 'Dark Channel Prior'(DCP) is used to predict fog transmission rate using dark area of an image, and eliminates fog from the image. But there is a big possibility to calculate a wrong transmission rate if the area of high RGB values is larger than the area of the reference area. Therefore we eliminate color distortion area to calculate transmission rate by using the propose method, and obtain a natural clean image from a hazed image.

• Journal of Broadcast Engineering
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• v.18 no.5
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• pp.680-690
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• 2013

In this paper, we propose a real-time temporal synchronization and compensation algorithm in stereoscopic video. Many temporal asynchronies are caused in the video editing stage and due to different transmission delays. These temporal asynchronies can degrade the perceived 3D quality. The goal of temporal alignment is to detect and to measure the temporal asynchrony and recover synchronization of the two video streams. In order to recover synchronization of the two video streams, we developed a method to detect asynchronies between the left and the right video streams based on a novel spatiogram information, which is a richer representation, capturing not only the values of the pixels but their spatial relationships as well. The proposed novel spatiogram additionally includes the changes of the spatial color distribution. Furthermore, we propose a block-based method for detection of the pair frame instead of one frame-based method. Various 3D experiments demonstrate the effectiveness of the proposed method.

• Journal of Digital Contents Society
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• v.18 no.4
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• pp.777-785
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• 2017

In the modern real world, we can extract and recognize some texts to get a lot of information from the scene containing them, so the techniques for extracting and recognizing text areas from a scene are constantly evolving. They can be largely divided into texture-based method, connected component method, and mixture of both. Texture-based method finds and extracts text based on the fact that text and others have different values such as image color and brightness. Connected component method is determined by using the geometrical properties after making similar pixels adjacent to each pixel to the connection element. In this paper, we propose a method to adaptively change to improve the accuracy of text region extraction, detect and correct the slope of the image using edge and image segmentation. The method only extracts the exact area containing the text by correcting the slope of the image, so that the extracting rate is 15% more accurate than MSER and 10% more accurate than EEMSER.

• Journal of the Korea Society of Computer and Information
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• v.13 no.3
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• pp.179-187
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• 2008

In this paper, we apply a set of algorithms to classily normal and cancer nucleus from uterine cervical pap-smear images. First, we use lightening compensation algorithm to restore color images that have defamation through the process of obtaining $1{\times}400$ microscope magnification. Then, we remove the background from images with the histogram distributions of RGB regions. We extract nucleus areas from candidates by applying histogram brightness, Kapur method, and our own 8-direction contour tracing algorithm. Various binarization, cumulative entropy, masking algorithms are used in that process. Then, we are able to recognize normal and cancer nucleus from those areas by using three morphological features - directional information, the size of nucleus, and area ratio - with fuzzy membership functions and deciding rules we devised. The experimental result shows our method has low false recognition rate.