• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2015.07a
• /
• pp.533-535
• /
• 2015

안개 제거 알고리즘은 single image에서 대기값(Airlight)와 대기의 빛 전달량(Transmission)을 추정하여 안개로 인한 빛의 산란에 의해 생긴 Contrast 감소 및 채도의 왜곡과 같은 영상 왜곡을 보정해줌으로써 안개 영상에서 안개를 효과적으로 제거해준다. 하지만 기존의 안개 제거 알고리즘은 안개 영상에 특화되었기 때문에 안개가 없는 영상에 알고리즘을 시행 할 경우 색상과 명암에 왜곡을 불러 일으킬 수 있다. 이에 따라 알고리즘을 수행하기 앞서 안개 량을 측정하고 그 결과에 따라 안개 제거 알고리즘에 제거 정도 가중치나 알고리즘 수행 여부를 판단할 필요가 있다. 본 논문은 기존 안개 제거 알고리즘들이 영상의 patch를 사용하여 빛 전달량(Transmission)을 추정한다는 것을 이용하여 빛 전달량을 구함과 동시에 안개 량을 판단하는 알고리즘을 개발하였다. 안개량을 측정하기 위해 각 patch의 pixel 분포 특성과 patch의 빛 전달량(Transmission)을 구하기 위한 특정 값과 실제 pixel의 명암(Intensity)을 비교하여 안개 량을 측정한다.

• The Korean Journal of Applied Statistics
• /
• v.16 no.2
• /
• pp.305-319
• /
• 2003

This paper provides a non-Bayesian method based on the expanded EM algorithm for segmenting the magnetic resonance images degraded by bias field. For the images with the intensity as a pixel value, many segmentation methods often fail to segment it because of the bias field(with low frequency) as well as noise(with high frequency). Our contextual approach is appropriately designed by using normal mixture model incorporated with Markov random field for noise-corrective segmentation and by using the penalized likelihood to estimate bias field for efficient bias filed-correction.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2014.11a
• /
• pp.125-126
• /
• 2014

안개 제거 알고리즘은 single image에서 대기값(Airlight)와 대기의 빛 전달량(Transmission)을 추정하여 안개로 인한 빛의 산란에 의해 생긴 Contrast 감소 및 채도의 왜곡과 같은 영상 왜곡을 보정해줌으로써 안개 영상에서 안개를 효과적으로 제거해준다. 하지만 기존의 안개 제거 알고리즘은 안개 영상에 특화되었기 때문에 안개가 없는 영상에 알고리즘을 시행 할 경우 색상과 명암에 왜곡을 불러 일으킬 수 있다. 이에 따라 알고리즘을 수행하기 앞서 안개 량을 측정하고 그 결과에 따라 안개 제거 알고리즘에 제거 정도 가중치나 알고리즘 수행 여부를 판단할 필요가 있다. 본 논문은 기존 안개 제거 알고리즘들이 영상의 patch를 사용하여 빛 전달량(Transmission)을 추정한다는 것을 이용하여 빛 전달량을 구함과 동시에 안개 량을 판단하는 알고리즘을 개발하였다. 안개량을 측정하기 위해 각 patch의 pixel 분포 특성과 patch의 빛 전달량(Transmission)을 구하기 위한 특정 값과 실제 pixel의 명암(Intensity)을 비교하여 안개 량을 측정한다.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.42 no.5 s.305
• /
• pp.51-58
• /
• 2005

This paper proposes an efficient algorithm for extracting a tumor region from an breast ultrasound volume image by using rate-distortion (R-D) based seeded region growing. In the proposed algorithm the rate and the distortion represent the roughness of the contour and the dissimilarity of pixels in a region, respectively. Staring from an initial seed region set in each cutting plane of a volume, a pair of the seed region and one of adjacent regions whose R-D cost is minimal is searched and then they are merged into a new updated seed region. This procedure is recursively performed until the averaged R-D cost values per the number of contour pixels in the seed region becomes maxim. As a result, the final seed region has good pixel homogeneity and a much smooth contour. Finally, the tumor volume is extracted using the contours of the final seed regions in all the cutting planes. Experimental results show that the averaged error rate of the proposed method is shown to be below 4%.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.26 no.2
• /
• pp.103-110
• /
• 2008

General lens, widely using in Photogrammetry, has narrow view, and have to adjust "Image-Registration Method" after obtain images and it need cost; economic, period of time. Recent days, there is various study that use wide-angle lens, usually for robotics field, put to practical use in photogrammetry instead of general lens. In this studies, distortion tendency of wide-angle lens and utilize the correction techniques suitable to wide-angle lens by the existing photographic survey methods. After carrying out the calibration of the wide-angle lens, we calculated the correction parameters, and then developed the method that convert the original image-point to new image-point correcting distortion. For authorization the developed algorithm, we had inspection about shape and position; there are approximately 2D RMSE of 3 pixel, cx = 2, and cy = 3 different.

• The Transactions of the Korea Information Processing Society
• /
• v.5 no.4
• /
• pp.1044-1047
• /
• 1998

Non-destructive x-ray inspection system needs image intensifier to obtain the x-ray image. Captured image from image intensifier is distorted because the input plate of image intensifier has a spherical surface. In the research, in order to compensate this image distortion, we created the model of image intensifier and show mathematically that the image distortion was compensated. To show the performance of the proposed method, experiment was performed in real x-ray inspection system.

• Proceedings of the Korea Contents Association Conference
• /
• 2003.11a
• /
• pp.271-275
• /
• 2003

In this paper, we propose a method that corrects the geometric distortion of mouth in an image. the method is composed of two steps - detecting key points and correcting geometric distortion. First, key points of lips in source and destination images are found by using lips detection algorithm. Then, the two images are mapped by using affine transformation and information found in first step. In experiment result for various mouths with different geometric distortion, we found that the proposed method have satisfactory efficiency.

• Korean Journal of Optics and Photonics
• /
• v.15 no.3
• /
• pp.234-240
• /
• 2004

In the integral imaging system for 3D display, we have investigated the image distortions, such as duplication and omission, which are presented in the reconstructed image. We have also discussed the quantitative condition which minimizes the distortion, with several fundamental variables. In addition, we present the experimental results which support the quantitative analysis of the distortion.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06b
• /
• pp.208-213
• /
• 2007

본 논문에서는 디지털 영상의 해상도를 부화소 기반의 새로운 적응적 선형보간법으로 변경하는 방법을 제안한다. 일반적 선형보간법에서 고정된 위치로 쓰이는 거리계수를 왜곡된 거리 계산에 의한 화소 가중치를 주는 방법으로 개선한다. 이를 계산하기 위하여 최소 평균 자승 에러(minimum mean square error, MMSE)를 이용한다. 원영상과의 차이를 최소화하는 왜곡 거리 계산을 위하여 이웃한 보간 화소와 왜곡거리를 참조하게 된다. 이를 사용하면 복잡도가 높지 않은 효과적인 화소 보간을 할 수 있고 실험 결과 일반적인 보간법과 비교할 때 PSNR(peak signal to noise ratio)과 주관적 화질 면에서 우수함을 알 수 있었다.

• Journal of Internet Computing and Services
• /
• v.11 no.5
• /
• pp.27-35
• /
• 2010

In this paper, we propose a method that can compensate the geometric distortions of image caused from an arbitrary nonflat display surface(or wall) under the environment of portable overhead projector without a flat screen. In the proposed method, we first project a grid pattern to an arbitrary nonflat display surface and then derive an equation of straight line that represents the geometry relationship between the distorted grid pattern and the original grid pattern. Next, after determining the proper size of the original grid pattern according to the form of the display surface, we generate a compensation pattern from the derived equation of straight line, which can symmetrically compensate for the distorted image. Finally, we compensate for the geometric distortions of the projected image by segmenting the real image to be projected from portable overhead projector and prewarping it according to the compensation pattern. To evaluate the proposed method, we performed experiments of image compensation on inclined surface, bent surface and curved surface that are frequently occurred in the environment of portable overhead projector without a flat screen. From the experimental results, we found that the proposed method could be very effective in compensating for the general types of the geometric distortions of the projected images.