• 한국정보기술학회 영문논문지
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• 제9권1호
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• pp.115-125
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• 2019

In this paper, the image is received from the camera and the lane is sensed. There are various ways to detect lanes. Generally, the method of detecting edges uses a lot of the Sobel edge detection and the Canny edge detection. The minimum use of multiplication and division is used when designing for the hardware configuration. The images are tested using a black box image mounted on the vehicle. Because the top of the image of the used the black box is mostly background, the calculation process is excluded. Also, to speed up, YCbCr is calculated from the image and only the data for the desired color, white and yellow lane, is obtained to detect the lane. The median filter is used to remove noise from images. Intermediate filters excel at noise rejection, but they generally take a long time to compare all values. In this paper, by using addition, the time can be shortened by obtaining and using the result value of the median filter. In case of the Sobel edge detection, the speed is faster and noise sensitive compared to the Canny edge detection. These shortcomings are constructed using complementary algorithms. It also organizes and processes data into parallel processing pipelines. To reduce the size of memory, the system does not use memory to store all data at each step, but stores it using four line buffers. Three line buffers perform mask operations, and one line buffer stores new data at the same time as the operation. Through this work, memory can use six times faster the processing speed and about 33% greater quantity than other methods presented in this paper. The target operating frequency is designed so that the system operates at 50MHz. It is possible to use 2157fps for the images of 640by360 size based on the target operating frequency, 540fps for the HD images and 240fps for the Full HD images, which can be used for most images with 30fps as well as 60fps for the images with 60fps. The maximum operating frequency can be used for larger amounts of the frame processing.

• 한국정보통신학회논문지
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• 제15권9호
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• pp.1865-1870
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• 2011

본 논문에서는 비파괴 검사를 통하여 얻어진 항공 갑판 영상에서, 조직의 결함의 정도를 자동으로 검출하는 방법을 제안한다. 먼저 비파괴 검사를 통하여 얻어진 항공 갑판 영상에서 감마상관 변환과 7${\times}$7 소벨 마스크와 13${\times}$13 소벨 마스크를 각각 적용하여 윤곽선을 추출하고 추출된 윤곽선 영역을 평활화와 평균 이진화 기법을 적용하여 영상을 보정한다. 마지막으로 보정된 영상에서 침식 연산과 팽창 연산을 이용하여 잡음을 제거한 후, 라벨링 기법을 적용하여 항공 갑판의 결함 영역을 추출한다. 실험 결과에서, 항공 갑판에서 결함을 추출하는데 기존의 방법보다 효과적인 것을 확인하였다.

• 대한전자공학회논문지SP
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• 제41권3호
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• pp.147-153
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• 2004

본 논문에서는 원영상과 잡음영상에서 Waerden 통계량을 이용하여 효율적인 에지 검출을 제안한다. 에지는 영상의 밝기값이 낮은 값에서 높은 값으로 또는 높은 값에서 낮은 값으로 급격히 변하는 경계에 존재한다. 통계적 에지 검출 방법으로 통계가설 검정인 비모수 Wilcoxon 검정과 모수 T검정을 설명한다. 특정한 유의수준 α 에 의해 결정되어 지는 임계값을 사용하며, 반면 Bovik, Huang 과 Munson 은 임계값에 대한 검정 통계량의 가능한 범위를 생각한다. 에지 검출의 실험 결과로부터 T와 Wilcoxon 방법은 잡음 영상에 민감하게 반응하는데 반하여 제안한 Waerden 방법은 유의수준 α=0.0005 에서 잡음영상과 잡음이 없는 영상 모두에서 로버스트 하다. 통계적인 검정 방법들과 Sobel, LoG, Canny연산자를 이용한 에지검출 방법을 비교해보면, Waerden 방법이 잡음 영상과 잡음 없는 영상 모두에 훨씬 더 효율적으로 에지를 검출한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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• pp.675-678
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• 2000

This paper presents a parametric line equation on the log-polar mapped plane to detect the straight lines in an original image. The log-polar edge image used in Hough transform is constructed by combining the edge images of both fovea and periphery. The foveal edge image detected by a Sobel mask on the Cartesian plane is transformed to the log-polar plane by forward mapping but the edge detection of the peripheral region is obtained by directly applying the newly developed mask to the log-polar plane. This paper also proposes a analytic method then determining a border between the fovea and the periphery regions.

• 방송공학회논문지
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• 제15권4호
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• pp.474-486
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• 2010

본 논문에서는 시간적, 공간적 경계 정보를 이용한 이동 객체의 윤곽선 검출 방법을 제안한다. 일반적으로 이동 객체의 경우 객체의 윤곽선(contour)을 구성하는 경계(edge) 픽셀에서 시간 축과 공간 축을 중심으로 큰 변화량(gradient)을 가진다. 따라서 시간 축과 공간 축을 중심으로 변화량이 큰 경계 픽셀을 구하면 이동 객체의 윤곽선을 검출할 수 있다. 본 논문에서는 임의의 픽셀에 대하여 시간 축을 중심으로 한 경계 정보를 구하기 위해 Temporal Edge라는 새로운 형태의 변화량 계산 방법을 제안한다. Temporal Edge는 시간 t와, t-2에서 입력된 두 그레이 스케일 영상의 차를 시간 축을 기준으로 x방향, y방향으로 Sobel Mask를 적용하여 구한다. 검출된 Temporal Edge를 이용하여 이동 객체의 윤곽선이 존재하는 후보 영역을 검출하고, 검출된 후보 영역을 중심으로 공간적 경계 정보를 구하여 이동 객체의 대강의 윤곽선을 검출 한다. 후처리 과정에서 검출된 대강의 윤곽선으로부터 배경 경계와 노이즈 픽셀을 제거한 후 최종적으로 이동 객체의 윤곽선을 검출한다. 제안한 방법은 기존의 배경 차 방법과는 다르게 별도의 배경 영상을 만들지 않기 때문에 배경 차 방법이 가지는 문제점을 극복하였으며, 빠른 연산 속도로 실시간 적용이 가능하다. 실험을 통하여 야간에도 강인한 윤곽선을 검출할 수 있음을 확인하였고, 엔트로피 방법과의 비교를 통해 제안하는 방법의 우수성을 보였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권4호
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• pp.251-259
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• 2015

In this paper, a ship detection method is proposed; this method uses edge-based segmentation and histogram of oriented gradient (HOG) with the ship size ratio. The proposed method can prevent a marine collision accident by detecting ships at close range. Furthermore, unlike radar, the method can detect ships that have small size and absorb radio waves because it involves the use of a vision-based system. This system performs three operations. First, the foreground is separated from the background and candidates are detected using Sobel edge detection and morphological operations in the edge-based segmentation part. Second, features are extracted by employing HOG descriptors with the ship size ratio from the detected candidate. Finally, a support vector machine (SVM) verifies whether the candidates are ships. The performance of these methods is demonstrated by comparing their results with the results of other segmentation methods using eight-fold cross validation for the experimental results.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제11권1호
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• pp.19-24
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• 2011

Edges represent significant boundary information between objects or classes. Various methods, which are based on differential operation, such as Sobel, Prewitt, Roberts, Canny, and etc. have been proposed and widely used. The methods are based on a linear convolution of mask with pre-assigned coefficients. In this paper, we propose an edge detection method based on Dempster-Shafer's evidence theory to evaluate edgeness of the given pixel. The effectiveness of the proposed method is shown through experimental results on several test images and compared with conventional methods.

• 대한원격탐사학회지
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• 제21권3호
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• pp.213-219
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• 2005

In the Korean seas, Sea Surface Temperature (SST) and Thermal ronts (TF) were analyzed temporally and spatially during 8 years from 1993 to 2000 using NOAA/AVHRR MCSST. In the application of EOF analysis for SST, the variance of the 1st mode was 97.6%. Temporal components showed annual variations, and spatial components showed that where it is closer to continents, the SST variations are higher. Temporal components of the 2nd mode presented higher values of 1993, 94 and 95 than those of other years. Although these phenomena were not remarkable, they could be considered ELNI . NO effects to the Korean seas as the time was when ELNI . NO occurred. The Sobel Edge Detection Method (SEDM) delineated four fronts: the Subpolar Front (SPF) separating the northern and southern parts of the East Sea; the Kuroshio Front (KF) in the East China Sea, the South Sea Coastal Front (SSCF) in the South Sea, and the Tidal Front (TDF) in the West Sea. TF generally occurred over steep bathymetry slopes, and spatial components of the 1st mode in SST were bounded within these frontal areas. EOF analysis of SST gradient values revealed the temporal and spatial variations of the TF. The SPF and SSCF were most intense in March and October; the KF was most significant in March and May.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.823-824
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• 2008

In this paper, we propose a robust and fast digital image stabilization algorithm based on edge detection. The proposed algorithm exploits sobel operator to obtain edge image and fast detects irregular conditions with analyzing an edge information of the image. Experimental results show that the proposed algorithm can gain better performance in the sense of speed and precision comparing with full-block search method.

• 전자공학회논문지B
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• 제31B권6호
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• pp.71-80
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• 1994

The purpose of this paper is to explore the use of fuzzy set theory for image processing and analysis. As an application example, the fuzzy method of edge detection is proposed to extract the edges of raised characters on tires.In general, Sobel, Prewitt, Robert and LoG filters are used to detect the edge, but it is difficult to detect the edge because of ambiguity of representations, noise and general problems in the interpretation of tire image. Therefore, in his paper, the fuzzy property plane has been extracted from the spatial domain using the ramp-mapping function. And then the ideas of fuzzy MIN and MAX are applied in removing noise and enhancement of the image simultaneously. From the result of MIN and MAX procedure a new fuzzy singleton is generated by extracting the difference between adjacent membership function values. And the edges are extracted by applying fuzzy $\alpha$-cut set to the fuzzy singletion, Finally, these ideas are applied to the tire images.