• 천문학회지
• /
• 제18권2호
• /
• pp.100-110
• /
• 1985

The HI features associated with HII regions and radio sources in the galactic-plane are searched in the Maryland-Green Bank Galactic 21-cm Line Survey. Among the twenty-eight such objects, twenty-five show HI depression features, two no feature, and an emission feature with excess HI brightness temperature. Most of these feature are surrounded by strong HI emissions. The depth of the HI depression is proportional to the radio continuum brightness temperature. The angular dimensions of the HI feature and radio source are comparable. The small HI depressions shown at the positions of HII region located in the outer solar circle are considered to be HI self-absorption features of very cold HI gas.

• 반도체디스플레이기술학회지
• /
• 제16권2호
• /
• pp.61-65
• /
• 2017

Recently, the interest and research on 360 camera and 360 image production are expanding. In this paper, we describe the feature extraction algorithm, alignment and image blending that make up the feature-based stitching system. And it deals with the theory of representative algorithm at each stage. In addition, the feature-based stitching system was implemented using OPENCV library. As a result of the implementation, the brightness of the two images is different, and it feels a sense of heterogeneity in the resulting image. We will study the proper preprocessing to adjust the brightness value to improve the accuracy and seamlessness of the feature-based stitching system.

• 한국멀티미디어학회논문지
• /
• 제19권2호
• /
• pp.138-145
• /
• 2016

LLAH(Locally Likely Arrangement Hashing) is a method which describes image features by exploiting the geometric relationship between their neighbors. Inherently, it is more robust to large view change and poor scene texture than conventional texture-based feature description methods. However, LLAH strongly requires that image features should be detected with high repeatability. The problem is that such requirement is difficult to satisfy in real applications. To alleviate the problem, this paper proposes a method that improves the matching rate of LLAH by exploiting together the brightness of features. Then, it is verified that the matching rate is increased by about 5% in experiments with synthetic images in the presence of Gaussian noise.

• 한국전기전자재료학회:학술대회논문집
• /
• 한국전기전자재료학회 2001년도 하계학술대회 논문집
• /
• pp.1100-1103
• /
• 2001

(1) By comparing and analyzing the distribution of brightness as domestic lamps and Japanese products go thinner and lighter, we set an effective design standard. (2) By comparing and analyzing the feature, brightness, chromaticity and uniformity of domestic LGPs and Japanese products, early home-manufacturing and stabilization in home-manufacturing are possible. (3) By comparing and analyzing the distribution of brightness as sheets are varied, we can design an ideal sheet composition.

• 전력전자학회:학술대회논문집
• /
• 전력전자학회 2001년도 전력전자학술대회 논문집
• /
• pp.105-108
• /
• 2001

In this paper, comparing and analyzing the distribution of brightness as domestic lamps and Japanese products go thinner and lighter, we set an effective design standard. By comparing and analyzing the feature, brightness, chromaticity and uniformity of domestic LGPs and Japanese products, early home-manufacturing and stabilization in home-manufacturing are possible. By comparing and analyzing the distribution of brightness as sheets are varied, we can design an ideal sheet composition.

• 한국통신학회논문지
• /
• 제16권11호
• /
• pp.1132-1142
• /
• 1991

본 논문에서는 이동물체의 형태정보를 분석을 위한 이동물체의 특징파라미터를 추출하는 기법을 제안하였다. 이차원 영상에서 이동물체의 추출은 차영상 기법을 이용하였다. 이동물체의 특징 파라미터는 면적과 둘레, 면적과 둘레의 비(A/P ratio), 굴곡점(Vertex), 종횡비(X/Y ratio)로 하였다. 휘도 변화를 600 Lux${\sim}$1400 Lux로 가변시켜 휘도변화에 대한 각 특징파라미터의 오차 허용범위를 결정하였다. 제안된 방법의 타당성을 입증하기 위하여 모형 자동차를 이용하여 동일성을 판별한 결과 판정오류는 6%미만이었다.

• 한국컴퓨터정보학회논문지
• /
• 제22권5호
• /
• pp.21-28
• /
• 2017

As technology related to digital imaging equipment is developed and generalized, digital imaging system is used for various purposes in fields of society. The object tracking technology from digital image data in real time is one of the core technologies required in various fields such as security system and robot system. Among the existing object tracking technologies, cam shift technology is a technique of tracking an object using color information of an object. Recently, digital image data using infrared camera functions are widely used due to various demands of digital image equipment. However, the existing cam shift method can not track objects in image data without color information. Our proposed tracking algorithm tracks the object by analyzing the color if valid color information exists in the digital image data, otherwise it generates the lightness feature information and tracks the object through it. The brightness feature information is generated from the ratio information of the width and the height of the area divided by the brightness. Experimental results shows that our tracking algorithm can track objects in real time not only in general image data including color information but also in image data captured by an infrared camera.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2001년도 하계학술대회 논문집 C
• /
• pp.1804-1807
• /
• 2001

By comparing and analyzing the feature, brightness, chromaticity and uniformity of domestic LGPs and Japanese products, early home-manufacturing and stabilization in home-manufacturing are possible. By comparing and analyzing the distribution of brightness as sheets are varied, we can design an ideal sheet composition.

• 반도체디스플레이기술학회지
• /
• 제8권4호
• /
• pp.95-100
• /
• 2009

This paper presents an efficient disparity matching, using sum of absolute difference (SAD) and dynamic programming (DP) algorithm. This algorithm makes use of one of area-based algorithm which is the absolute sum of the pixel difference corresponding to the window size. We use the information of the right eye brightness (B) and the left eye brightness to get an best matching results and apply the results to the left eye image using the window go by the brightness of the right eye image. This is that we can control the brightness. The major feature of this algorithm called SAD+DP+B is that although Root Mean Square (RMS) performance is slightly less than SAD+DP, due to comparing original image, its visual performance is increased drastically for matching the disparity map on account of its matching compared to SAD+DP. The simulation results demonstrate that the visual performance can be increased and the RMS is competitive with or slightly higher than SAD+DP.

• 방송공학회논문지
• /
• 제10권2호
• /
• pp.156-165
• /
• 2005

This paper presents a new auto brighoess control algorithm fur adaptive background subtraction. The algorithm is designed to cope with the problem of auto-brightness adjustment feature of consumer-type cameras. The experimental results show the proposed method improves performance of the classification. This will be beneficial to many computer vision applications in term of reducing the cost of implementation and making them more available to the mass consumer market.