• The Journal of Korean Society of Virology
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• v.27 no.2
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• pp.227-237
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• 1997

In order to search for anti-Herpes simplex virus (HSV) type-1 agents from Korean medicinal herbs and Korean traditional prescriptions (herb complexes), we selected 80 medicinal herbs and 45 prescriptions, based on a review of the Korean traditional medicine books. Both methanol extracts and boiling-water extracts were tested by means of the MTT assay (tetrazolium based colorimetric assay). Ten of the 125 methanol extracts: CM-11, CM-18, CM-19, CM-21, CM-22, CM-39, MM-3, MM-18, MM-29, MM-73 (see explanation of nomenclature below), showed efficacy against HSV-1. Twelve of the water extracts: CW-2, CW-3-I, CW-3-II, CW-18, MW-3, MW-5 MW-6, MW-12, MW-47, MW-69, MW-73 and MW-79 were active. #3 (individual herb) and #73 (individual herb) were interesting because both water and methanol extracts were active. Especially, #3 is a part of composition of Hong-il-$laksamd{\check{u}}ngbang$ and Hojanghaedokt'ang which have anti-HSV-1 activitives. The SI value of MW-69 and CW-18 was relative high as $10.2{\pm}0.7$ and $11.8{\pm}2.2$. The cytotoxic effect on Vera cells of $Panch'{\check{o}}nch'onch'{\check{o}}ngbang$, Taraxacum platycarpum H. Dahlst. and acycloguanosine was determined by MTT assay. Water extracts of $Panch'{\check{o}}nch'onch'{\check{o}}ngbang$ (prescription) and Taraxacum platycarpum H. Dahlst. showed very weak cytotoxic effects on Vero cells at > $100\;{\mu}g/ml$ but acycloguanosine showed strang cytotoxic effects on Vera cells at > $100\;{\mu}g/ml$. As a result, #3, #73, MW-69 and CW-18 are considered as potentially useful for anti-HSV-1 agent and will be the focus of further research. Abbreviations: CM - methanol extracts of traditional prescriptions; CW - water extracts of traditional prescriptions; MM - methanol extracts of individual herbs; MW - water extracts of individual herbs.

• Journal of Korea Multimedia Society
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• v.5 no.2
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• pp.176-190
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• 2002

According as vehicles increases, system such as Advanced Drivers Assistance System(ADAS ) to inform forward situation to driver is required. In this paper, we proposes method to detect forward vehicles and lane from sequential color images by basis process to inform forward situation to driver. We detect a front vehicle using that shadow area exists on part under vehicles and that road area occupies many parts even if road traffic is confused. We detect lane information using that lane part is white order by reverse characteristic of shadow area. This method shows good result in case road is confused or there is direction indication to road. HSV color space is selected for color modeling. This method uses saturation component and value component in HSV color model to detect vehicles and lane. It uses statistics features of HSV component and position to know whether detected vehicles area is vehicles such as vehicles previous frame. To verify the effects of the proposed method, we capture the road images with notebook and CCD camera for PC and Present the results such as processing time, accuracy and vehicles detection against the images.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.161-166
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• 2011

In this paper, we propose a novel background segmentation and feature point extraction method of a human motion for the augmented reality game. First, our method transforms input image from RGB color space to HSV color space, then segments a skin colored area using double threshold of H, S value. And it also segments a moving area using the time difference images and then removes the noise of the area using the Hessian affine region detector. The skin colored area with the moving area is segmented as a human motion. Next, the feature points for the human motion are extracted by calculating the center point for each block in the previously obtained image. The experiments on various input images show that our method is capable of correct background segmentation and feature points extraction 12 frames per second.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.178-180
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• 2022

선박충돌사고를 재현하고 분석하기 위해서는 레이더 기반 선박충돌사고 데이터에서 물표 정보를 정확하게 확보하는 것이 매우 중요한 역할을 한다. 이 연구에서는 HSV 색공간과 OpenCV 라이브러리를 이용하여 물표 정보를 추출하는 방법을 분석하였고, 실제 상황에 적용한 프로그램도 개발하였다.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.459-465
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• 2013

This paper is a study on an object extraction method which using color features of an object and background in the image. A human recognizes an object through the color difference of object and background in the image. So we must to emphasize the color's difference that apply to extraction result in this image. Therefore, we have converted to HSV color images which similar to human visual system from original RGB images, and have created two each other images that applied Median Filter and we merged two Median filtered images. And we have applied the Mean Shift algorithm which a data clustering method for clustering color features. Finally, we have normalized 3 image channels to 1 image channel for binarization process. And we have created object map through the binarization which using average value of whole pixels as a threshold. Then, have extracted major object from original image use that object map.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.48 no.6
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• pp.15-24
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• 2011

As increase awareness of intelligent vehicle systems, many kinds of lane detection algorithm have been proposed. General boundary extraction method can bring good result in detection of lane on the road. But a shadow on the road, or other boundaries, such as horizontal lines can be detected. The method using morphological operations was used to extract information about Lane. By applying HSV color model for color information of lane, the candidate of the lane can be extracted. In this paper, the lane detection region was set by Hough transformation using the candidate of the lane. By extracting lane markings on the lane detection region, lane detection method can bring good result.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.366-368
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• 2018

본 논문에서는 이러한 문제점을 개선하기 위해 상완 동맥 영역에 대한 RGB 채널을 HSV 채널로 변환한다. 변환된 HSV 채널에 대해 고혈압 영역의 특징을 강조하게 하기 위해 밝기 값을 나타내는 V값을 조절한다. 조절된 HSV 채널을 다시 RGB 채널로 변환한 후, Fuzzy C_Means 기반 무게중심과 Possibilistc C_Means 기반 무게 중심을 기반으로 새로운 무게 중심을 구하여 픽셀들을 클러스터링하여 상완동맥 영역의 고혈압 영역을 추출한다. 추출된 상완 동맥의 고혈압 영역에 대해 헤모글로빈 색소 정보를 나타내는 IHb 값을 이용하여 상완 동맥의 고혈압 영역에서 유사한 헤모글로빈 색소 정보를 가지는 영역을 분할한다. 분할된 영역들을 혈류의 속도를 나타내는 색상표와 대조하여 고혈압의 진행에 대해 분석하는 방법을 제안한다. 제안된 방법을 색조 도플러 초음파 영상을 대상으로 실험한 결과, 제안된 방법이 고혈압의 진행에 대한 분석 결과와 색조 도플러 초음파 영상 장비에 나타난 고혈압 진행 결과와 거의 일치하는 것을 확인할 수 있었다.

• Nuclear Medicine and Molecular Imaging
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• v.43 no.5
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• pp.468-477
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• 2009

Purpose: Hydrodynamic-based procedure is a simple and effective gene delivery method to lead a high gene expression in liver tissue. Non-invasive imaging reporter gene system has been used widely with herpes simplex virus type 1 thymidine kinase (HSV1-tk) and its various substrates. In the present study, we investigated to image the expression of HSV1-tk gene with 5-(2-iodovinyD-2'-deoxyuridine (IVDU) in mouse liver by the hydrodynamicbased procedure. Materials and Methods: HSV1-tk or enhanced green fluorescence protein (EGFP) encoded plasmid DNA was transferred into the mouse liver by hydrodynaminc injection. At 24 h post-injection, RT-PCR, biodistribution, fluorescence imaging, nuclear imaging and digital wholebody autoradiography (DWBA) were performed to confirm transferred gene expression. Results: In RT-PCR assay using mRNA from the mouse liver, specific bands of HSV1-tk and EGFP gene were observed in HSV1-tk and EGFP expressing plasmid injected mouse, respectively. Higher uptake of radiolabeled IVDU was exhibited in liver of HSV1-tk gene transferred mouse by biodistribution study. In fluorescence imaging, the liver showed specific fluorescence signal in EGFP gene transferred mouse. Gamma-camera image and DWBA results showed that radiolabeled IVDU was accumulated in the liver of HSV1-tk gene transferred mouse. Conclusion: In this study, hydrodynamic-based procedure was effective in liver-specific gene delivery and it could be quantified with molecular imaging methods. Therefore, co-expression of HSV1-tk reporter gene and target gene by hydrodynamic-based procedure is expected to be a useful method for the evaluation of the target gene expression level with radiolabeled IVDU.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.39-47
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• 2019

In this paper, we proposed extracting modified Histogram of Oriented Gradients (HOG) features using background removal when tracking pedestrians in real time. HOG feature extraction has a problem of slow processing speed due to large computation amount. Background removal has been studied to improve computation reductions and tracking rate. Area removal was carried out using S and V channels in HSV color space to reduce feature extraction in unnecessary areas. The average S and V channels of the video were removed and the input video was totally dark, so that the object tracking may fail. Histogram equalization was performed to prevent this case. HOG features extracted from the removed region are reduced, and processing speed and tracking rates were improved by extracting clear HOG features. In this experiment, we experimented with videos with a large number of pedestrians or one pedestrian, complicated videos with backgrounds, and videos with severe tremors. Compared with the existing HOG-SVM method, the proposed method improved the processing speed by 41.84% and the error rate was reduced by 52.29%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.7
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• pp.956-962
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• 2018

As the study of the object feature detection from image, we explain methods to identify the species of the tree in forest using the picture taken from dron. Generally there are three kinds of methods, which are GLCM (Gray Level Co-occurrence Matrix) and Gabor filters, in order to extract the object features. We proposed the object extraction method using the statistical properties of trees in this research because of the similarity of the leaves. After we extract the sample images from the original images, we detect the objects using cross correlation techniques between the original image and sample images. Through this experiment, we realized the mean value and standard deviation of the sample images is very important factor to identify the object. The analysis of the color component of the RGB model and HSV model is also used to identify the object.