• 한국전자통신학회논문지
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• 제5권3호
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• pp.245-250
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• 2010

본 논문에서는 열영상 기반의 전력선 검출기법이 제안되었다. 전력선 검출 기법은 무인 항공기의 자율 운행을 위해 필요한 기술이다. 하프변환된 데이터를 바탕으로 각도별 분할 기법을 개발하였으며, 이를 바탕으로 그룹핑을 행하고, 마지막으로 전력선을 검출하는 기법을 개발하였다. 제시된 알고리듬에 대한 실험결과에서 다양한 직선성분이 존재하는 영상에서 전력선을 효과적으로 검출할 수 있음을 확인할 수 있었다.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2003년도 하계학술대회 논문집
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• pp.106-109
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• 2003

This paper presents a hue preserving gamut mapping algorithm for color monitor and printer. The gamuts of monitor and printer are set by the profile of color reproduction media, specified by ICC(International Color Consortium) and provided by vendors, then those gamuts are represented on the CIE xy color space. In case that the color of monitor are located on out-of-gamut of printer, these are clipped on the point of gamut boundary of printer towards a reference white point. On the other hand, colors are in-gamut of printer are unchanged. An image generated by the algorithm keeps a ratio of each pixel of original image. Advantages of the algorithm are easy to implement and fast processing time than other algorithms which involve hue preserving especially in CIELAB color space.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.882-884
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• 2003

We present an application of digital video images for object tracking. In order to track a fixed object, which was shoot on a moving vehicle, this study develops a shape-based matching algorithm to implement the tracking task. Because the shape-based matching algorithm has scale and rotation invariant characteristics, therefore it can be used to calculate the similarity between two variant shapes. An experiment is performed to track the ship object in the open sea. The result shows that the proposed method can track the object in the video images even the shape change largely.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2003년도 춘계학술발표대회논문집
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• pp.503-507
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• 2003

기존의 영상기반 3차원 가상공간 구축 기법들은 단일 영상을 입력으로 하여 하나의 가상공간을 구축하기 때문에, 가상공간의 영역이 매우 협소하고 가상공간 내부에서 관찰자의 네비게이션기능이 제한적이었다. 또한 특정 영상에 대해서만 사실성을 보장하기 때문에, 실세계를 반영한 모든 영상에 대해서 가상공간 구축 기법들을 일반화 할 수 없다. 이에 실세계를 촬영한 영상을 3차원 가상공간으로 복원하기 위해서 이러한 가상공간 구축 기법들을 통합해야할 필요성이 있다. 본 논문에서는 한 장의 영상을 입력으로 하나의 가상공간을 구축했던 기존의 방법들을 통합하여 여러 장의 영상을 입력으로 여러 개의 가상공간을 구축하고, 가상공간 지도의 개념을 도입하여 이를 연결하여 광범위한 3차원 가상공간을 구축할 수 있는 IVSD(Image-based Virtual Space Designer) 저작도구의 설계에 관하여 기술하였다.

• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.298-304
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• 2021

Currently, to prevent the spread of COVID-19 virus infection, gathering of more than 5 people in the same space is prohibited. The purpose of this paper is to measure the distance between objects using the Yolov5 model for processing real-time images with OpenCV in order to restrict the distance between several people in the same space. Also, Utilize Euclidean distance calculation method in DeepSORT and OpenCV to minimize occlusion. In this paper, to detect the distance between people, using the open-source COCO dataset is used for learning. The technique used here is using the YoloV5 model to measure the distance, utilizing DeepSORT and Euclidean techniques to minimize occlusion, and the method of expressing through visualization with OpenCV to measure the distance between objects is used. Because of this paper, the proposed distance measurement method showed good results for an image with perspective taken from a higher position than the object in order to calculate the distance between objects by calculating the y-axis of the image.

• Journal of Information Processing Systems
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• 제15권1호
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• pp.159-168
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• 2019

Accurate forest fires detection algorithms remain a challenging issue, because, some of the objects have the same features with fire, which may result in high false alarms rate. This paper presents a new video-based, image processing forest fires detection method, which consists of four stages. First, a background-subtraction algorithm is applied to detect moving regions. Secondly, candidate fire regions are determined using CIE $L{\ast}a{\ast}b{\ast}$ color space. Thirdly, special wavelet analysis is used to differentiate between actual fire and fire-like objects, because candidate regions may contain moving fire-like objects. Finally, support vector machine is used to classify the region of interest to either real fire or non-fire. The final experimental results verify that the proposed method effectively identifies the forest fires.

• 호남수학학술지
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• 제39권4호
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• pp.655-663
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• 2017

In this paper we define $AP_c$ and $AP_{cc}$ spaces which are stronger than the property of approximation by points(AP). We investigate operations on their subspaces and study function theorems on $AP_c$ and $AP_{cc}$ spaces. Using those results, we prove that every continuous image of a countably compact Hausdorff space with AP is AP. Finally, we prove a theorem that every compact ${\kappa}$-WAP space is ${\kappa}$-pseudoradial, and prove a theorem that the product of a compact ${\kappa}$-radial space and a compact ${\kappa}$-WAP space is a ${\kappa}$-WAP space.

• Journal of Astronomy and Space Sciences
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• 제24권2호
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• pp.111-118
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• 2007

We have studied energetic neutral atom (ENA) disturbances during the magnetic storm main phase that occurred on October 3,2001, using the ENA data from the HENA instrument onboard the IMAGE spacecraft. We find that the main phase is characterized by five ENA enhancement events that occurred quasi-periodically. The repetitive ENA enhancements are most significant in the highest energy (138-222 keV) oxygen channel and become less significant for hydrogen and in lower energies. Also they are separated by ${\sim}1.2$ to ${\sim}1.7$ hrs, which is well below an average period usually seen for other repetitive injection events.

• 한국인쇄학회:학술대회논문집
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• 한국인쇄학회 2000년도 추계학술발표회 논문집
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• pp.0.3-0
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• 2000

Gamut mapping is a technique that acts on cross-media reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device-independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using tetrahedral interpolation.

• Journal of Astronomy and Space Sciences
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• 제31권3호
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• pp.205-214
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• 2014

In this study, a star identification algorithm which utilizes pivot patterns instead of apparent magnitude information was developed. The new star identification algorithm consists of two steps of recognition process. In the first step, the brightest star in a sensor image is identified using the orientation of brightness between two stars as recognition information. In the second step, cell indexes are used as new recognition information to identify dimmer stars, which are derived from the brightest star already identified. If we use the cell index information, we can search over limited portion of the star catalogue database, which enables the faster identification of dimmer stars. The new pivot algorithm does not require calibrations on the apparent magnitude of a star but it shows robust characteristics on the errors of apparent magnitude compared to conventional pivot algorithms which require the apparent magnitude information.