• 한국컴퓨터정보학회논문지
• /
• 제20권10호
• /
• pp.23-29
• /
• 2015

In this paper, we suggest a method of detecting defects by applying Hough transform and least squares on ceramic images obtained from non-destructive testing. In the ceramic images obtained from non-destructive testing, the background area, where the defect does not exist, commonly show gradual change of luminosity in vertical direction. In order to extract the background area which is going to be used in the detection of defects, Hough transform is performed to rotate the ceramic image in a way that the direction of overall luminosity change lies in the vertical direction as much as possible. Least squares are then applied on the rotated image to approximate the contrast value of the background area. The extracted background area is used for extracting defects from the ceramic images. In this paper we applied this method on ceramic images acquired from non-destructive testing. It was confirmed that extracted background area could be effectively applied for searching the section where the defect exists and detecting the defect.

• 상하수도학회지
• /
• 제28권3호
• /
• pp.345-358
• /
• 2014

For introducing the groundwater quality assessment using background concentration of groundwater, several methods had been studied to estimate the background concentration of groundwater and to suggest the background concentration of study area. Some methods such as Box whisker plot, Percentile and Cumulative probability distribution had been adopted to estimate background concentration, and it was evaluated that the Cumulative probability distribution method presents more reasonable background concentration because it can consider the data distribution. So we estimated the background concentration of study area using cumulative probability distribution method. We suggested the background concentration for each hydrogeology respectively in case hydrogeological water quality similarity is very low.

• 한국멀티미디어학회논문지
• /
• 제17권8호
• /
• pp.915-922
• /
• 2014

We propose an adaptive zoom motion estimation method where a picture is divided into two areas based on the distance information with a depth camera : the one is object area and the other is background area. In the proposed method, the zoom motion is only applied to the object area except the background area. Further, the block size of motion estimation for the object area is set to smaller than that of background area. This adaptive zoom motion estimation method can be reduced at the complexity of motion estimation and can be improved at the motion estimation performance by reducing the block size of the object area in comparison with the conventional zoom motion estimation method. Based on the simulation results, the proposed method is compared with the conventional methods in terms of motion estimation accuracy and computational complexity.

• Wind and Structures
• /
• 제16권1호
• /
• pp.47-60
• /
• 2013

A dominant opening in a windward wall, which generates large internal pressures in a building, is a critical structural design criterion. The internal pressure fluctuations are a function of the dominant opening area size, internal volume size and external pressure at the opening. In addition, many buildings have background leakage, which can attenuate internal pressure fluctuations. This study examines internal pressure in buildings for a range of dominant opening areas, internal volume sizes and background porosities. The effects of background porosity are incorporated into the governing equation. The ratio of the background leakage area $A_L$ to dominant opening area $A_W$ is presented in a non-dimensional format through a parameter, ${\phi}_6-A_L/A_W$. Background porosity was found to attenuate the internal pressure fluctuations when ${\phi}_6$ is larger than 0.2. The dominant opening discharge coefficient, ${\kappa}$ was estimated to lie between 0.05 to 0.40 and the effective background porosity discharge coefficient ${\kappa}^{\prime}_L$, was estimated to be between 0.05 to 0.50.

• 한국융합학회논문지
• /
• 제10권5호
• /
• pp.27-34
• /
• 2019

본 논문에서는 문자 영역의 패턴을 분석하여 배경 영역을 제거하는 방법을 제안하였다. 명암이 일정한 영역을 구분하는 MSER(Maximally Stable External Regions)방법의 문자 검출에서는 배경 영역이 포함되어 검출되었다. 이러한 문제점을 해결하기 위해 자연 이미지에서 MSER 방법을 사용하여 명암 값이 차이가 나는 영역과 차이가 나지 않는 영역 즉 문자 영역과 배경 영역을 구해 변화율을 계산하여 배경을 제거하였다. 그러나 배경이 제거된 이미지에서 일부 제거되지 않는 배경 영역이 생겨 LBP(Local Binary Patterns)방법을 사용하여 이미지에서 균일한 값을 갖는 영역을 문자 영역이라고 판단하고 문자를 검출하였다. 실험 데이터는 배경이 단순한 이미지, 문자가 정면으로 구성된 이미지, 문자가 기울어진 이미지 등의 다양한 자연 이미지를 실험하였다. 제안하는 방법을 기존의 MSER, MSER+LBP 방법의 문자 검출 방법과 비교하였을 때 약 1.73%로 높은 검출률을 보였다.

• 감성과학
• /
• 제5권2호
• /
• pp.73-78
• /
• 2002

The unique colors of paper, that is, blue, green, red, and yellow were used in the estimation of color from the subjective feeling. The monochrome with unique color or the unique color surrounded with the background color was presented. subject gazed the monochrome or the unique color, which was tailed target rotor. The target and background color were the complementary color each other. The various ratios of the area of gazed color and background were taken. Subject answered the level of subjective feeling consisted of pair of adjective items for unique color presented. With the use of the subjective feeling for the target color presented, the estimation of the unique color was cai\ulcornerlied out due to Fuzzy theory and neural networks. The results of color difference between unique color presented and the estimated color gave very small value for the case without background, while the results of the case with background color depended on the ratio of area of presented color and background color till the ration of 2:1, The relation showed the Kirschman's law, The color difference saturated In the increase of area of background with the ratio more than 2:1.

• 한국감성과학회:학술대회논문집
• /
• 한국감성과학회 2002년도 춘계학술대회 논문집
• /
• pp.261-265
• /
• 2002

The unique colors of paper, that is, blue, green, red, and yellow were used in the estimation of color from the subjective feeling. The monochrome with unique color or the unique color surrounded with the background color was presented. Subject gazed the monochrome or the unique color, which was called target color. The target and background color were the complementary color each other. The various ratios of the area of gazed color and background were taken. Subject answered the level of subjective feeling consisted of pair of adjective items for unique color presented. With the use of the subjective feeling fer the target color presented, the estimation of the unique color was carried out due to Fuzzy theory and neural networks. The results of color difference between unique color presented and the estimated color gave very small value for the case without background, while the results of the case with background color depended on the ratio of area of presented color and background color till the ration of 2:1, The relation showed the Kirschman's law. The color difference saturated in the increase of area of background with the ratio more than 2:1.

• 자원환경지질
• /
• 제36권4호
• /
• pp.275-284
• /
• 2003

구례지역의 1차 수계를 대상으로 하상퇴적물을 채취하여 지질집단별 주성분 및 미량성분원소의 자연배경치를 설정하고자 하였다. 하상퇴적물은 구례지형도에서 오염의 우려가 없고 단일지질로 구성된 집수분지를 대표할 수 있는 시료를 1999년 4월과 5월에 걸쳐 채취하였고 화학분석을 실시하였다 유해원소들의 부화정도를 알아보기 위해 tolerable level윽 이용하여 살펴본 결과 일부 지역에서 Ni과 Cr의 함량이 tolerable love의 허용한계치를 초과하는 것으로 나타나는데, 이는 이들 지역의 기반암인 변성암류의 영향으로 인한 것으로 판단된다. 유해금속원소의 종합적인 부화양상을 규명하기 위하여 tolerable level을 이용하여 부화지수를 산출한 격과, 화강편마암지역은 0.39, 반상변정질화강편 마암지역은 0.32, 흑운모편마암지역은 0.42, 혼성편마암지역은 0.41, 응회암지역은 0.30, 안산암지역은 0.46, 역암지역은 0.42, 화강암지역은 0.26으로 매우 낮은 부화지수를 보여주고 있는 것으로 보아 연구지역의 자연배경치는 유해금속원소의 오염에 노출되지 않은 것으로 판단된다.

• 대한전기학회논문지:전력기술부문A
• /
• 제48권3호
• /
• pp.321-329
• /
• 1999

Moving Object segmentation extracts an interested moving object on a consecutive image frames, and has been used for factory automation, autonomous navigation, video surveillance, and VOP(Video Object Plane) detection in a MPEG-4 method. This paper proposes new segmentation method using difference images are calculated with three consecutive input image frames, and used to calculate both coarse object area(AI) and it's movement area(OI). An AI is extracted by removing background using background area projection(BAP). Missing parts in the AI is recovered with help of the OI. Boundary information of the OI confines missing parts of the object and gives inital curves for active contour optimization. The optimized contours in addition to the AI make the boundaries of the moving object. Experimental results of a fast moving object on a complex background scene are included.

• 한국대기환경학회지
• /
• 제17권1호
• /
• pp.105-115
• /
• 2001

This study was conducted to analyzed the pattern of $CO_2$ concentration changes in various time scale within and across the Korean Peninsula. We compared that data sets obtained from Moo-Ahn(NAN) station in Korea with those determined from major background observatory stations around the world from the periods of Aug. 1995 to Dec. 1997. The mean $CO_2$concentrations of the MAN area, if computed using the total of 884 daily mean values, were computed to by 374.5$\pm$6.6 ppm. When the background data for MAN were compared with those of other background site, the concentration of MAN was systematically higher than any other comparable sites. Results of correlation analysis between MAN and other background sites generally showed up the existence of strong correlations, indicating that the relative effect of $CO_2$ concentration change can proceed similarly over the globe. However, notable differences in annual growth rate of $CO_2$ between MAN and all the comparative sites suggested that its concentration in th MAN area be regulated in more complicated manners than those in the other areas. It is thus suspected that the data collected form MAN area be not effective enough to represent areal distribution characteristics of $CO_2$in the Korean Peninsula.