• 한국측량학회지
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• 제35권1호
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• pp.41-53
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• 2017

A thermal camera is used to obtain thermal information of a certain area. However, it is difficult to depict all the information of an area in an individual thermal image. To form a high-resolution panoramic thermal image, we propose an optimized FAST (feature from accelerated segment test) algorithm to combine two or more images of the same scene. The FAST is an accurate and fast algorithm that yields good positional accuracy and high point reliability; however, the major limitation of a FAST detector is that multiple features are detected adjacent to one another and the interest points cannot be obtained under no significant difference in thermal images. Our proposed algorithm not only detects the features in thermal images easily, but also takes advantage of the speed of the FAST algorithm. Quantitative evaluation shows that our proposed technique is time-efficient and accurate. Finally, we create a mosaic of the video to analyze a comprehensive view of the scene.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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• pp.262-265
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• 1999

This paper describes a new method for object extraction necessary for image tracking systems. The extraction method which this paper proposes here is that an M-array is set between a camera and the object and the obtained image including the object and M-array is pro-cessed for extracting the object. The image processing utilizes a characteristic of M-array which is robust to noise. When an M-array is overlapped on the object in background image, the object woud have a part of M-array, which is detected by use of partial correlation between the mosaic image of M-array and the standard M-array. Thus the shape and position of the object are extracted by extracting a common domain of width of high correlation value. Experiments are carried out by using an actual photo of Kumamoto city taken from an airplane as background, and by use of a rectangular and circular object. The results of experiment show a wide application of this method for practical image tracking systems.

• 한국군사과학기술학회지
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• 제10권2호
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• pp.180-187
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• 2007

In this paper, we propose an automatic method which combines two or more images acquired by camera on the air-vehicle into a larger image mosaics. The shift, scaling, rotation factors between two images can be calculated by using the correspondences between the points of the images. In order to estimate these factors, we find the relative positions of two images with respect to each other by using the SIFT descriptor and the RANSAC algorithm. After estimating the factors, the images can be merged into a single image mosaic by warping the target image. To avoid seams when mosaics are constructed from overlapped images, we apply the average gray level value of points within a overlapped zone. We have tested our proposed method on various image sets and have confirmed that our method produced good result subjectively.

• 천문학회지
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• 제37권4호
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• pp.211-216
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• 2004

We present the results of an H I aperture synthesis mosaic of the Large Magellanic Cloud (LMC), made by combining data from 1344 separate pointing centers using the Australia Telescope Compact' Array (ATCA) and the Parkes multibeam receiver. The resolution of the mosaiced images is 50" (<15 pc, using a distance to the LMC of 55kpc). This mosaic, with a spatial resolution .15 times higher than that which had been previously obtained, emphasises the turbulent and fractal structure of the ISM on the small scale, resulting from the dynamical feedback of the star formation processes with the ISM. We also have done a widefield panoramic survey of H$\alpha$ emission from the Magellanic Clouds with an imager mounted on the 16-inch telescope at Siding Spring Observatory. This survey produced H$\alpha$ images which are equal to the ATCA survey in area coverage and resolution. This survey allows us to produce a continuum-subtracted image of the entire LMC. In contrast with its appearance in the H$\alpha$ image, the LMC is remarkably symmetric in H I on the largest scales, with the bulk of the H I residing in a disk of diameter 8. $^{\circ}4$ (7.3 kpc) and a spiral structure is clearly seen. The structure of the neutral atomic ISM in the LMC is dominated by H I filaments combined with numerous shells and holes.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -2
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• pp.877-880
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• 2000

In this paper, we develop an algorithm of soccer image sequences mosaicing using reverse affine transform. The continuous mosaic images of soccer ground field allows the user/viewer to view a “wide picture” of the player’s actions The first step of our algorithm is to automatic detection and tracking player, ball and some lines such as center circle, sideline, penalty line and so on. For this purpose, we use the ground field extraction algorithm using color information and player and line detection algorithm using four P-rules and two L-rules. The second step is Affine transform to map the points from image to model coordinate using predefined and pre-detected four points. General Affine transformation has many holes in target image. In order to delete these holes, we use reverse Affine transform. We tested our method in real image sequence and the experimental results are given.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.395-398
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• 2005

The acquisition of a panoramic image has been popular in recent years due to its large number of applications. In this paper, we deal with generation of a full panoramic mosaic. When it mosaicing consecutive frames, a simple alignment method may lead to local and global alignment errors. These errors can make a full-view panoramic mosaic to be cracked. In order to solve this problem, we propose the bidirectional alignment with multi-anchor (BAMA) algorithm with a basic local alignment formula. Experimental results show that we can create full panoramic mosaics stably through the proposed algorithm.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.284-287
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• 1998

It is important to develop a method of assembling a set of sub pictures automatically into a mosaic picture , because a view through fiberscopes or microscopes with higher magnifying power is much larger than the field of view taken by a camera. This paper presents a method of assembling sub pictures, where roughly estimated junctions called approximate junctions are employed for matching triangles formed by selected junctions in sub pictures. To over come the difficulties in processing speed and noise corruption, fuzzy rules is applied to get fuzzy values for existence of approximate junctions and fuzzy similarity for congruent triangle matching. Some demonstration, exemplified by assembling microscopic metal matrix photographs, are given to show feasibility of this method.

• 천문학논총
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• 제30권2호
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• pp.671-673
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• 2015

Before analyzing the images taken with a Mosaic CCD imager, the images have to reach a state which can be used for further scientific analysis. The transformation of raw images into calibrated images is called data reduction. Transforming HEavely Light into Images (THELI) is a nearly fully automated reduction pipeline software (Erben et al., 2005). This pipeline works on raw images to remove instrumental signatures, mask unwanted signals, and perform photometric and astrometric calibration. Finally THELI constructs a deep co-added mosaic image and a weight map. In this poster, THELI data reduction procedures will be reviewed and the reduction process for raw images of seven X-ray bright groups, extracted from GEMS groups (Osmond & Ponman, 2004) obtained by the Wide Field Imager (WFI) mounted on MPG/ESO telescope at La Silla in March 2006 will be discussed.

• 한국측량학회지
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• 제27권4호
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• pp.429-435
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• 2009

본 연구에서는 항공 디지털 프레임 카메라에 의해 제작된 모자이크 영상의 정량적인 품질 평가를 위해 HSI 색상 모델을 이용한 색상평가 방법을 제안하였다. 이를 위하여 먼저 RGB칼라 영상을 HSI색상모델로 변환 후, 모자이크영상의 접합영상에 대해 6가지 동일한 색상에 해당하는 채도와 명도의 화소정보를 추출한다. 이 후, 접합영상을 객관적으로 평가하기 위하여 유사성과 대비 측정을 위해 4가지 평가인자를 산출하였으며, 이에 대한 정량적인 평가를 수행하였다. 그 결과 제안된 영상 평가 방법이 육안 평가 방법과 거의 유사한 결과를 보여주고 있음을 확인하였다. 따라서 본 연구에서는 모자이크영상에 대해 시각적으로 판단하기 어려운 문제점을 정량적으로 나타냄으로써 영상 자체의 품질을 평가하기 위한 객관화된 방안을 제시하였다.

• 전자공학회논문지S
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• 제36S권1호
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• pp.51-59
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• 1999

본 논문에서는 축구 경기 자동 분석을 위한 첫걸음으로 일반적인 축구 경기 영상열에서 선수 및 공을 추적하고 영상 모자의 기법을 이용해서 운동장 모델 상에서 선수가 움직인 궤적을 알아내는 기법을 제시한다. 여기서 일반걱인 축구 경기 영상열이란 극도의 zoom-in 또는 zoom-out 아닌 경우로 TV 카메라가 공을 쫓아 자연스럽게 움직이는 상황의 영상을 말한다. 이러한 영상열로부터 선수의 궤적을 구하기 위해선 다음과 같이 크게 세 가지 문제를 해결해야한다. 첫째로 입력 영상에서 운동장 부분을 추출하는 문제, 둘째로 선수 및 공을 추적하고 선수들의 팀을 구분하는 문제, 마지막으로 영상에서의 선수의 위치를 실제 운동장 좌표로의 변환을 통해 선수가 움직인 자취를 운동장 모델 상에서 구하는 문제가 그것이다. 운동장의 추출은 칼라 정보를 이용하였고 이 추출된 운동장 영역 하에서 템플릿 매칭과 Kalman 필터링을 이용하여 선수와 공을 추적했다. 선수간 겹침 문제에 대해서는 CHBP(Color Histogram Back-Projection) 기법을 적용했다. 특히 선수가 운동장에서 움직인 궤적을 구하기 구하기 위해서 입력 영상에서 보이는 특징점들을 이용하여 운동장 모델 좌표와 입력 영상 좌표간의 변환을 구하고 이를 통해 운동장 모델에서의 선수의 위치를 구했다. 이때에 입력 영상에서 특징점이 충분치 않을 경우 영상 모자익 기법을 이용하여 특징점이 보이는 영상과의 좌표 변환 관계를 구함으로써 해결하였다. 실험적으로 실제 TV에서 방영된 축구 경기 영상열에 제안된 방법을 적용하여 얻어진 결과를 보인다.