• Title/Summary/Keyword: Image Edge

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Matching Algorithm for PCB Inspection Using Vision System (Vision System을 이용한 PCB 검사 매칭 알고리즘)

  • An, Eung-Seop;Jang, Il-Young;Lee, Jae-Kang;Kim, Il-Hwan
    • Journal of Industrial Technology
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    • v.21 no.B
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    • pp.67-74
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    • 2001
  • According as the patterns of PCB (Printed Circuit Board) become denser and complicated, quality and accuracy of PCB influence the performance of final product. It's attempted to obtain trust of 100% about all of parts. Because human inspection in mass-production manufacturing facilities are both time-consuming and very expensive, the automation of visual inspection has been attempted for many years. Thus, automatic visual inspection of PCB is required. In this paper, we used an algorithm which compares the reference PCB patterns and the input PCB patterns are separated an object and a scene by filtering and edge detection. And than compare two image using pattern matching algorithm. We suggest an defect inspection algorithm in PCB pattern, to be satisfied low cost, high speed, high performance and flexibility on the basis of $640{\times}480$ binary pattern.

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Web Camera Based Quality Inspection System of Golf Balls (웹캠을 이용한 골프공 품질 검사 시스템)

  • Kwon, Ki-hyeon;Lee, Hyun-Jung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.07a
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    • pp.199-200
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    • 2016
  • 스포츠 산업 응용 분야에서 공의 실시간 품질검사는 산업 생산성과 경쟁력 견지에서 중요한 이슈이다. 컴퓨터 비전 기반 자동 품질검사는 이 문제를 해결하는 하나의 방법이다. 머신 비전 시스템은 품질관리 및 산업프로세스의 실시간 피드백을 주어, 물리적인 제한과 사람의 주관적인 판단을 극복할 수 있다. 컴퓨터비전 기반 시스템에서 디지털카메라에서 취득되는 디지털이미지는 주로 24-비트 컬러이미지이다. 이처럼 많은 레벨을 가지는 이미지분석은 복잡한 이미지 처리기법을 필요로 한다. 그러나 실시간 애플리케이션에서, 한 부분은 실시간으로 검사되어져야 한다. 이 논문에서는 최적의 임계값을 사용하여 스포츠산업계의 산업요구 사항을 만족하는 골프공 품질검사 시스템을 개발하였다.

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Machine Vision Inspection System of Micro-Drilling Processes On the Machine Tool (공작기계 상에서 마이크로드릴 공정의 머신비전 검사시스템)

  • Yoon, Hyuk-Sang;Chung, Sung-Chong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.6
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    • pp.867-875
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    • 2004
  • In order to inspect burr geometry and hole quality in micro-drilling processes, a cost-effective method using an image processing and shape from focus (SFF) methods on the machine tool is proposed. A CCD camera with a zoom lens and a novel illumination unit is used in this paper. Since the on-machine vision unit is incorporated with the CNC function of the machine tool, direct measurement and condition monitoring of micro-drilling processes are conducted between drilling processes on the machine tool. Stainless steel and hardened tool steel are used as specimens, as well as twist drills made of carbide are used in experiments. Validity of the developed system is confirmed through experiments.

Fabrication and Linear & Nonlinear Optical Characterization of Photonic Crystals (포토닉 밴드갭 광결정의 제작과 선형 및 비선형 광학 특성 연구)

  • Ha Na Yeong;U Yeon Gyeong;Hwang Ji-Su;Jang Hye-Jeong;Park Byeong-Ju;U Jeong-Won
    • Proceedings of the Optical Society of Korea Conference
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    • 2002.07a
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    • pp.162-163
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    • 2002
  • 1-D photonic band-gap structure is identified in a cholesteric liquid crystal system. The optical transmission spectrum is measured and compared with the theoretical analysis. Nonlinear transmission is measured near the band edge. Also 3-D photonic band-gap structures are fabricated from dielectric colloidal polystyrene beads through a centrifuge method. The fabricated photonic crystals exhibit opalescent colors under white light and show a clear diffraction peak dependent on the incident angle of the light beam. Also the scanning electron microscope image was taken to verify the face-centered cubic crystal structure. Bragg's law and Snell's law are employed to describe the position of angle resolved diffraction peaks. It was shown that the optically deduced effective refractive index and lattice constants were in good agreement with the crystal structure identified by scanning electron microscope.

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Context-free multiple-object segmentation using attention operator based on modified generalized symmetry transform (일반화 대칭변환을 변형한 관심 연산자에 의한 사전 정보없는 다중 물체 분할)

  • 구태모;전준형;최흥문
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.4
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    • pp.36-44
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    • 1997
  • An efficient context-free multiple-object segmentation using attention operator based on modified generalized symmetry transform is proposed and implemented by modifying a radial basis function network. By using the difference of intensity gradient, instead of te intensity gradient itself, in generalized symmetry tranform so as to make the attention operator to preserve the edges of the objects shape, an efficient context-free multiple-object segementation is proposed in which no a priori shape informtion on the objects is requried. The attention operator is implemented by using a modified radial basis function network which can reflect symmetry, and by using te edge pyramid of the input image, both of the local and the global symmetry of the objects are reflected simultaneously to make the multiple-object with different sizes be segmented with a singel fixed-size $n\timesm$ can be done with O(n) complexity. The simulaton results show that the proposed algorithm can efficiently be used in context-free multiple-object segmentation even for the low contrast IR images as well as for the images from the camera.

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A Possibilistic C-Means Approach to the Hough Transform for Line Detection

  • Frank Chung-HoonRhee;Shim, Eun-A
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.476-479
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    • 2003
  • The Rough transform (HT) is often used for extracting global features in binary images, for example curve and line segments, from local features such as single pixels. The HT is useful due to its insensitivity to missing edge points and occlusions, and robustness in noisy images. However, it possesses some disadvantages, such as time and memory consumption due to the number of input data and the selection of an optimal and efficient resolution of the accumulator space can be difficult. Another problem of the HT is in the difficulty of peak detection due to the discrete nature of the image space and the round off in estimation. In order to resolve the problem mentioned above, a possibilistic C-means approach to clustering [1] is used to cluster neighboring peaks. Several experimental results are given.

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A New Fuzzy Supervised Learning Algorithm

  • Kim, Kwang-Baek;Yuk, Chang-Keun;Cha, Eui-Young
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.399-403
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    • 1998
  • In this paper, we proposed a new fuzzy supervised learning algorithm. We construct, and train, a new type fuzzy neural net to model the linear activation function. Properties of our fuzzy neural net include : (1) a proposed linear activation function ; and (2) a modified delta rule for learning algorithm. We applied this proposed learning algorithm to exclusive OR,3 bit parity using benchmark in neural network and pattern recognition problems, a kind of image recognition.

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Stabilization of Power System using Self Tuning Fuzzy controller (자기조정 퍼지제어기에 의한 전력계통 안정화에 관한 연구)

  • 정형환;정동일;주석민
    • Journal of the Korean Institute of Intelligent Systems
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    • v.5 no.2
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    • pp.58-69
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    • 1995
  • In this paper GFI (Generalized Fuzzy Isodata) and FI (Fuzzy Isodata) algorithms are studied and applied to the tire tread pattern classification problem. GFI algorithm which repeatedly grouping the partitioned cluster depending on the fuzzy partition matrix is general form of GI algorithm. In the constructing the binary tree using GFI algorithm cluster validity, namely, whether partitioned cluster is feasible or not is checked and construction of the binary tree is obtained by FDH clustering algorithm. These algorithms show the good performance in selecting the prototypes of each patterns and classifying patterns. Directions of edge in the preprocessed image of tire tread pattern are selected as features of pattern. These features are thought to have useful information which well represents the characteristics of patterns.

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Probabilistic Background Subtraction in a Video-based Recognition System

  • Lee, Hee-Sung;Hong, Sung-Jun;Kim, Eun-Tai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.4
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    • pp.782-804
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    • 2011
  • In video-based recognition systems, stationary cameras are used to monitor an area of interest. These systems focus on a segmentation of the foreground in the video stream and the recognition of the events occurring in that area. The usual approach to discriminating the foreground from the video sequence is background subtraction. This paper presents a novel background subtraction method based on a probabilistic approach. We represent the posterior probability of the foreground based on the current image and all past images and derive an updated method. Furthermore, we present an efficient fusion method for the color and edge information in order to overcome the difficulties of existing background subtraction methods that use only color information. The suggested method is applied to synthetic data and real video streams, and its robust performance is demonstrated through experimentation.

High Dynamic Range Image Tone Mapping Method by Using Local Edge-Preserving Filter and Mean Filter (지역 엣지 보존 필터와 평균 필터를 이용한 HDR 이미지 톤 매핑 기법)

  • Kim, Hyungi;Choi, Hyunho;Jeong, Jechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.06a
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    • pp.55-58
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    • 2017
  • 본 논문에서는 넓은 동적 영역(High Dynamic Range: HDR) 이미지에 지역 엣지 보존 필터를 적용한 개선된 다중 스케일 톤 매핑 기법을 제안하고자 한다. 기존 알고리듬의 다중 스케일 분해 과정에서는 과도하게 많은 정보를 보존하여 결과 이미지가 비현실적으로 표현되고 일부 테스트 이미지에서는 화소 값 변화량이 큰 엣지 영역에서 후광 효과가 발생하는 단점이 있다. 본 논문에서는 기존 알고리듬의 다중 스케일 분해 과정을 개선하여 엣지를 적절히 보존함으로써 후광 효과를 제거함과 동시에 주관적 화질을 향상시켰다.

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