• Title/Summary/Keyword: Corner point

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New Gray Level Corner Point Detection Method (새로운 그레이 레벨 코너점 검출 방법)

  • 나재형;오해석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.8C
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    • pp.1062-1068
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    • 2004
  • In this paper, we introduce a new gray level comer detection method to recognize corner points accurately. The new corner detector divides the corner region into many homocentric circles according to the window size, and calculates the corner response and angle of corner area about each layer to get an accurate corner point. The new corner detector has a hierarchical structure so it can detect corner point more quickly than general gray level corner detector

A Study on Expressive Characteristics of the Corner in Space (공간에 있어 모서리의 조형적 표현특성에 관한 연구)

  • 김성일;김주연
    • Korean Institute of Interior Design Journal
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    • v.13 no.2
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    • pp.72-79
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    • 2004
  • First of all corner is an essential element to consist the space, but there is not much solid study and basic concept on the corner. The most important reason is the lack of the concept on the corner. The definition of corner by itself carries the term of space. Accordingly arguing the corner in space is to characterize the space. The corner is an important element to build up the space. The purpose of this study is to give a definition on the comer in space and suggest the way of practical use. The corner in space began to transform after Cubism. Therefore this study is bounded after Cubism era. The focus of study on plastical expression properties is on the view point by each era and constitutional point of view. In conclusion, the concept of corner has been switched from the concept of structure to concept of decoration. Also, study found that the concept of corner has the ideology, medium, and characteristics of boundary.

Object Feature Extraction Using Double Rearrangement of the Corner Region

  • Lee, Ji-Min;An, Young-Eun
    • Journal of Integrative Natural Science
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    • v.12 no.4
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    • pp.122-126
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    • 2019
  • In this paper, we propose a simple and efficient retrieval technique using the feature value of the corner region, which is one of the shape information attributes of images. The proposed algorithm extracts the edges and corner points of the image and rearranges the feature values of the corner regions doubly, and then measures the similarity with the image in the database using the correlation of these feature values as the feature vector. The proposed algorithm is confirmed to be more robust to rotation and size change than the conventional image retrieval method using the corner point.

Detection of Junctions via Accumulation of Connectivity-based Weight in Image Space : Applications for Locating 2D Barcode (영상 공간에서의 연결성 기반 가중치 누적을 통한 코너점 검출: 이차원 바코드 검출에의 응용)

  • Kim, Jeong-Tae;Song, Jin-Young
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.10
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    • pp.1865-1867
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    • 2007
  • We propse a novel corner detection algorithm for locating 2D Data Matrix barcode in an image. The proposed method accumulates weight for each cross point defined by every combination of edge points in the image, and detects the corner point of the barcode L-pattern by determining the location of the highest accumulated weight. By designing the weight considering the connectivity of two lines around the cross point, we were able to detect the corner of L-pattern even for the cases that the lines of L-patterns are short. In the experiments, the proposed method showed improved performance compared with the conventional Hough transform based method in terms of detectability and computation time.

Comer Detection in Gray Lavel Images for Wafer Die Position Recognition (웨이퍼 다이 위치 인식을 위한 명암 영상 코너점 검출)

  • 나재형;오해석
    • Journal of KIISE:Software and Applications
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    • v.31 no.6
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    • pp.792-798
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    • 2004
  • In this paper, we will introduce a new corner detector for the wafer die position recognition. The die position recognition procedure is necessary for WSCSP(Wafer Scale Chip Scale Packaging) technology, decide the accuracy of post-procedure. We present a hierarchical gray level corner detection method for the recognition of the die position from a wafer image. The new corner detector divides the corner region into many homocentric circles, and calculates the comer response and the angle of direction about each circle to get an accurate toner point. The new corner detector has a hierarchical structure so it can detect comer point more quickly than general gray level corner detector.

A Realization of Deburring Robot using Vision Sensor (비젼 센서를 이용한 디버링 로봇의 구현)

  • 배준영;주윤명;김준업;이상룡
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.466-469
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    • 2002
  • Burr is a projected part of finished workpiece. It is unavoidable and undesirable by-product of most metal cutting or shearing process. Also, it must be removed to improve the fit of machined parts, safety of workers, and the effectiveness of finishing operation. But deburring process is one of manufacturing processes that have net been successfully automated, so deburring automation is strongly needed. This paper focused on developing a basic algorithm to find edge of workpiece and match two different image data for deburring automation which includes automatic recognition of parts, generation of deburring tool paths and edge/corner finding ability by analyzing the DXF drawing file which contains information of part geometry. As an algorithm for corner finding, SUSAN method was chosen. It makes good performance in finding edge and corner in suitable time. And this paper suggested a simple algorithm to find matching point between CCD image and drawing file.

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Comparative Analysis of Detection Algorithms for Corner and Blob Features in Image Processing

  • Xiong, Xing;Choi, Byung-Jae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.4
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    • pp.284-290
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    • 2013
  • Feature detection is very important to image processing area. In this paper we compare and analyze some characteristics of image processing algorithms for corner and blob feature detection. We also analyze the simulation results through image matching process. We show that how these algorithms work and how fast they execute. The simulation results are shown for helping us to select an algorithm or several algorithms extracting corner and blob feature.

A Vision-Based Jig-Saw Puzzle Matching Method (영상처리 시스템을 이용한 그림조각 맞추기에 관한 연구)

  • 이동주;서일홍;오상록
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.1
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    • pp.96-104
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    • 1990
  • In this paper, a novel method of jig-saw puzzle matching is proposed using a modifided boundary matching algorithm without a priori knowledge for the matched puzzle. Specifically, a boundary tracking algorithm is utilised to segment each puzzle from low-resolution image data. Segmented puzzle is described via corner point, angle and distance between two adjacent coner point, and convexity and/or concavity of corner point. Proposed algorithm is implemented and tested in IBM PC and PC version vision system, and applied successfully to real jig-saw puzzles.

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Face Recognition using Local Gabor Filter and Facial Ellipse Information (지역 Gabor 필터와 얼굴영역 정보를 이용한 얼굴인식에 관한 연구)

  • Eum, Min-Young;Shin, Dae-Kyu;Kim, Hyun-Sool;Park, Sang-Hui
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2598-2600
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    • 2002
  • 본 논문은 다양한 크기와 복잡한 배경을 포함한 질의 얼굴 영상이 들어 왔을 때 질의 영상의 얼굴 타원 정보 내에서의 Corner point들에서의 Gabor 웨이블릿 특성을 이용한 얼굴 인식에 관한 것이다. 기존에 방법은 다른 크기와 배경의 질의 영상이 들어왔을 때에는 배경에서의 Corner Point들에 대한 영향과 영상의 크기가 다름으로 인해 Corner point의 변화와 Gabor 특징벡터의 변화 때문에 인식률이 저하되었다. 이러한 단점을 보완하고자 질의 영상의 얼굴 타원 정보를 추출하여 배경에 의한 영향을 제거하고, 크기를 보정해줌으로써 기존의 우수한 성능을 유지함과 동시에 다양한 크기와 배경을 가진 질의 얼굴 영상을 인식할 수 있도록 한 것이다.

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