• Title/Summary/Keyword: Sobel

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Edge Detection Method Based on Neural Networks for COMS MI Images

  • Lee, Jin-Ho;Park, Eun-Bin;Woo, Sun-Hee
    • Journal of Astronomy and Space Sciences
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    • v.33 no.4
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    • pp.313-318
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    • 2016
  • Communication, Ocean And Meteorological Satellite (COMS) Meteorological Imager (MI) images are processed for radiometric and geometric correction from raw image data. When intermediate image data are matched and compared with reference landmark images in the geometrical correction process, various techniques for edge detection can be applied. It is essential to have a precise and correct edged image in this process, since its matching with the reference is directly related to the accuracy of the ground station output images. An edge detection method based on neural networks is applied for the ground processing of MI images for obtaining sharp edges in the correct positions. The simulation results are analyzed and characterized by comparing them with the results of conventional methods, such as Sobel and Canny filters.

Noise Estimation using Edge Detection in Moving Pictures (에지 검출을 이용한 동영상 잡음 예측)

  • Kim, Young-Ro;Oh, Tae-Myung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.4
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    • pp.207-212
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    • 2015
  • We propose a noise estimation method using edge detection in moving pictures. Edge detection is to exclude structures and details which have an effect on the noise estimation. To detect edge, we use Sobel and morphological closing operators which are robust to details of images. The proposed noise estimation method is more efficiently applied to noise estimation in various types of moving images and has better results than those of existing noise estimation methods. Also, proposed algorithm can be efficiently applied to image and video applications.

The performance evaluation of car license plate edge detection by various edge detectors (다양한 에지 검출기에 의한 차량 번호판의 에지 검출 성능 평가)

  • Lee, Seok-Hee;Song, Young-Jun;Ahn, Jae-Hyeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.773-776
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    • 2004
  • 본 논문에서는 에지 검출기에 의해 다양한 명암이 존재하는 차량 번호판 영역의 사각형 에지를 검출시 사용되는 소벨 및 Prewitt, Roberts, 가우시안의 라플라시안, 그리고 Canny 검출기를 사용하여 처리 속도와 에지 검출의 정확성을 실험하여 각 연산자의 성능을 평가하였다. 기존의 Sobel 에지 검출기는 적응적 임계값을 구하지 않으면 다양한 조명의 영향에 강인하지 못하다. 또한 Canny 에지 검출기는 조명의 영향에 강인하기는 하나, 계산량이 Sobel 보다는 많아 처리 속도가 느리다. 색상에 의해 번호판 후보 영역을 추출한 후 에지 검출기 번호판 내의 명암이 둘 이상으로 차량 번호판 영역에 대해서, 다양한 에지 검출기를 적용하여 속도와 에지 검출 성능을 비교 평가하고자 한다.

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A Study of the Use of Step by Processing for the Reading Letters Using Terahertz (테라헤르츠를 이용하여 글자를 읽어내기 위한 전처리 과정에 대한 연구)

  • Park, Inho;Kim, Seongyoon;Kim, Youngseop;Lee, Yonghwan
    • Journal of the Semiconductor & Display Technology
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    • v.16 no.2
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    • pp.106-109
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    • 2017
  • Recently, ancient documents are actively studied and discussed. However, ancient documents has a few problems on interpretation. The antique documents are too fragile to hand over. So, some studies have been carried out using terahertz to read ancient documents without damaging them. Three techniques are necessary to read letters using terahertz. First, PPEX algorithm, which distinguishes pages. Second, TGSI technique, which distinguishes text from paper on a page. Third, CCSC algorithm, which transforms signals to letters. In this paper, we will describe the preprocessing process to facilitate the recognition of letters before applying the post processing as we mentioned above. Histogram equalization, Histogram stretching and the Sobel filter were applied to the preprocessing.

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A Study on Edge Detection Algorithm for Road Lane Recognition (차선인식을 위한 에지검출 알고리즘에 관한 연구)

  • Lee, Chang-Young;Kim, Marn-Go;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.802-804
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    • 2014
  • Edge detection of image for performing the road lane recognition is an essential preprocessing. Various studies are being performed in order to detect such edge and there are conventional edge detection methods such as Sobel, Prewitt and Roberts. Such methods regardless of pixel distribution are processed by applying the same weighted value to the entire pixels and show a somewhat insufficient edge detection results. Therefore, this paper has proposed an algorithm that detects the edge using the suitable weighted value for the road lane recognition considering the pixel distribution shape of the image.

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A Study on Edge Detection using Local Mask in AWGN Environments (AWGN 환경에서 국부 마스크를 이용한 에지 검출에 관한 연구)

  • Lee, Chang-Young;Hwang, Yeong-Yeun;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.801-803
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    • 2014
  • In the modern society, image processing is utilized in various fields. Edge detection used for image processing as such is essential for most of the applications. Accordingly, there are studies conducted both in and out of Korea in order to detect edge. Representative edge detection methods include Sobel, Prewitt and Roberts. However, these methods are rather limited when it comes to the edge detection characteristics when used for the image with damaged AWGN(additive white Gaussian noise). Thus, this paper presented edge detection method utilizing local mask in order to overcome the shortcomings of the existing methods.

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A Study on Edge Detection Algorithm using Modified Directional Masks (변형된 방향성 마스크를 이용한 에지검출 알고리즘에 관한 연구)

  • Lee, Chang-Young;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.244-246
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    • 2014
  • Edge detection is a technique that obtains the particular information of the image using the brightness variation of pixel values and utilized for preprocessing in various image processing sectors. The conventional edge detection methods such as Sobel, Prewitt and Roberts are processed by applying the same weighted value to the entire pixels regardless of pixel distribution and provides somewhat insufficient edge detection results. Therefore, this paper has proposed an edge detection algorithm considering the direction and size of pixels by applying a modified directional mask.

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Seam Carving based Occlusion Region Compensation Algorithm (심카빙 기반 가려짐 영역 보상 기법)

  • An, Jae-Woo;Yoo, Ji-Sang
    • Journal of Broadcast Engineering
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    • v.16 no.4
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    • pp.573-583
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    • 2011
  • In this paper, we propose an occlusion compensation algorithm which is used for virtual view generation. In general, since occlusion region is recovered from neighboring pixels by taking the mean value or median value of neighbor pixels, the visual characteristics of a given image are not considered and consequently the accuracy of the compensated occlusion regions is not guaranteed. To solve these problem, we propose an algorithm that considers primary visual characteristics of a given image to compensate the occluded regions by using seam carving algorithm. In the proposed algorithm, we first use Sobel mask to obtain the edge map of a given image and then make it binary digit 0 or 1 and finally thinning process follows. Then, the energy patterns of original and thinned edge map obtained by the modified seam carving method are used to compensate the occlusion regions. Through experiments with many test images, we verify that the proposed algorithm performed better than conventional algorithms.

A Technique for Image Processing of Concrete Surface Cracks (콘크리트 표면 균열의 영상 처리 기법)

  • Kim Kwang-Baek;Cho Jae-Hyun;Ahn Sang-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.7
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    • pp.1575-1581
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    • 2005
  • Recently, further study is being done on the affect of crack on concrete structure and many people have made every endeavor not to leave it unsettled but to minimize it by repair works. In this paper we propose the image processing method that do not remain manual but automatically process the length, the direction and e width of cracks on concrete surface. First, we calibrate light's affect from image by using closing operation, one of morphology methods that can extract the feature of oracle and we extract the edge of crack image by sobel mask. After it, crack image is binarized by iteration binarization. And we extract the edge of cracks using noise elimination method that use an average of adjacent pixels by 3${\times}$3 mask and Glassfire Labeling algorithm. on, in this paper we propose an image processing method which can automatically measure the length, the direction and the width of cracks using the extracted edges of cracks. The results of experiment showed that the proposed method works better on the extraction of concrete cracks. Also our method showed the possibility that inspector's decision is unnecessary.

The Mediating Effects of Family Solidarity on Depression and Suicidal Ideation of Older Adults in Korea (노인의 우울이 자살생각에 미치는 영향에 대한 가족연대감의 매개효과)

  • Yoon, Hyun-Sook;Yeom, So-rim
    • Korean Journal of Social Welfare
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    • v.68 no.1
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    • pp.53-71
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    • 2016
  • This study, we analyzed the following in order to verify the effects of depression on suicidal ideation. First, correlations among depression, family solidarity and suicide variables were analysed. Second, the hierarchical regression analysis was conducted to examine the effects of suicidal ideation. Third, family solidarity Sobel-test was performed to investigate whether family solidarity mediates the link between depression and suicidal ideation. The data used in the study comes from the survey conducted by Hallym Aging Research Institute in 2014. Through stratified multi-stage random sampling, 2,034 individuals aged 65 and over and living in Chun-cheon city were analysed. The result with depression and family solidarity together shows the higher the level of depression is, the more suicide ideation is. which means depression has a direct impact on suicide ideation. In addition, it indicates the higher family solidarity is, the less suicide ideation is. Sobel-test which examines indirect effects of depression on suicidal ideation through family solidarity produces a statistically meaningful result. The result is family solidarity mediates the link between depression and suicidal ideation.

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