• 치과방사선
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• 제28권1호
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• pp.73-85
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• 1998

The purpose of this study was to aid in the use of the digital images by edge-detect interpolation for direct digital periapical images using edge-detect interpolation. This study was performed by image processing of 20 digital periapical images; pixel replication, linear non-interpolation, linear interpolation. and edge-sensitive interpolation. The obtained results were as follows : 1. Pixel replication showed blocking artifact and serious image distortion. 2. Linear interpolation showed smoothing effect on the edge. 3. Edge-sensitive interpolation overcame the smoothing effect on the edge and showed better image.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2007년도 춘계학술대회 논문집
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• pp.399-400
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• 2007

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2004년도 추계 종합학술대회 논문집
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• pp.453-456
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• 2004

본 논문은 에지와 수평 투영을 이용하여 차선 및 장애물을 검출하는 기법을 제안한다. 제안방법은 칼라 입력 영상을 그레이 영상으로 바꾼 후, 소벨 변환을 통하여 에지를 검출한다. 에지를 이용하여 차선을 검출 한 후 차선의 영역 내에서 수평 투영을 하여 장애물을 검출한다. 실험 결과, 조명의 변화가 심하지 않은 장소에서 차선과 장애물의 검출이 용이함을 확인할 수 있었다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 춘계학술대회
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• pp.886-888
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• 2013

에지는 물체의 크기, 방향, 위치 등의 정보를 포함한다. 이러한 에지를 검출하기 위한 기존의 에지검출 방법은 Sobel, Prewitt, Roberts, Laplacian 연산자 등을 이용한 방법이다. 기존의 방법은 에지를 검출하기 위하여 고정된 가중치 마스크를 이용하며 에지 검출 특성이 다소 미흡하다. 따라서 이와 같은 기존의 방법의 단점을 보완하기 위하여, 본 논문에서는 표준편차 및 임계값에 따른 가중치를 이용한 에지 검출 알고리즘을 제안하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 추계학술대회
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• pp.338-340
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• 2012

영상에서 에지는 영상의 특징을 분석하는 중요한 요소이며 여러 응용 분야에 선택적으로 활용되고 있다. 이러한 에지를 검출하고 활용하기 위한 많은 연구들이 지금까지도 진행되고 있으며, 초기에는 에지를 검출하기 위하여 인접한 화소들의 관계를 이용한 방법들이 제안되었다. 이러한 방법들의 특징은 알고리즘의 처리가 빠르지만 영상에 관계없이 특정 가중치가 모든 화소에 동일하게 적용되는 것이다. 이와 같은 기존의 방법의 단점을 보완하기 위하여, 최근에는 영상에 따라 적응하여 에지를 검출하는 알고리즘의 연구가 활발히 진행되고 있다. 따라서 본 논문에서는 에지를 우수한 특성으로 검출하기 위해 적응 마스크를 이용한 알고리즘을 제안하였다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.279-286
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• 2000

The objective of this research is to detect the papaya fruits on tree in an orchard. The detection of papaya on natural background is difficult because colors of fruits and background such as leaves are similarly green. We cannot separate it from leaves by color information. Therefore, this research will use shape information instead. First, we detect an interested object by detecting its boundary using edge detection technique. However, the edge detection will detect every objects boundary in the image. Therefore, shape description technique will be used to describe which one is the interested object boundary. The good shape description should be invariant in scaling, rotating, and translating. The successful concept is to use Fourier series, which is called "Fourier Descriptors". Elliptic Fourier Descriptors can completely represent any shape, which is selected to describe the shape of papaya. From the edge detection image, it takes a long time to match every boundary directly. The pre-processing task will reduce non-papaya edge to speed up matching time. The deformable template is used to optimize the matching. Then, clustering the similar shapes by the distance between each centroid, papaya can be completely detected from the background.

• Journal of Electrical Engineering and Technology
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• 제6권4호
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• pp.580-584
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• 2011

Corner positioning templates are proposed in order to detect the accurate positions of corners that are extracted using 4-directional edge labeling. Top-down and bottom-up directional labeling are used to label the edge segments with four kinds of labels according to their directions. The points whose labels have changed are then determined as corners. The exact positions of the missing corners due to the disconnected edges are detected through the corner positioning templates that are determined according to the labels of start-points and end-points after the two-pass edge labeling. Experiment results show that the proposed method can detect the exact positions of the real corners.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 추계학술대회 논문집
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• pp.200-205
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• 1996

Recently, in order to achieve high flexibility of manufacture, monitoring and control strategies cf a new type have been developed. Since the generation of built-up edge on the cutting tool damages the surface finish of the workpiece, the monitoring system of built-up edge is an important process monitoring. In this study, the analyzing methods of cutting force signal to detect the built-up edge during cutting process are described. The cutting force signals are analyzed using the mean, standard deviation and mean to standard deviation of this cutting signals. We can obtain the guide to detect the built-up edge during turning process.

• 제어로봇시스템학회논문지
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• 제16권3호
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• pp.264-268
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• 2010

The purpose of this paper is to propose new techniques to match measured optical images by using the edge abstraction method and differentiation method based on image processing technology. To do this, we detect the matching template and non-matching template from each optical image. And then, we detect the edge parts of the overlaped image from comer edge abstraction method and remove noise image. At last, these data are related to applied first-order derivative operator. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

• 한국정밀공학회지
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• 제14권7호
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• pp.67-72
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• 1997

Recently, in order to achieve high flexibility of manufacture, monitoring and control strategies of a new type have been developed. Since the generation of built-up edge on the cutting tool damages the surface finish of the workpiece, the monitoring system of built-up edge is an important process monitoring. In this study, the analyzing methods of cutting force signal to detect the built-up edge during cutting process are described. The cutting force signals are analyzed using the mean, standard deviation and mean to standard deviation of this cutting signals. We can obtain the guide to detect the built-up edge during turning process.