• Title/Summary/Keyword: edge feature

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Object Recognition Using the Edge Orientation Histogram and Improved Multi-Layer Neural Network

  • Kang, Myung-A
    • International Journal of Advanced Culture Technology
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    • v.6 no.3
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    • pp.142-150
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    • 2018
  • This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the edge orientation histogram and principle component analysis. By using the detected object region as a recognition input image, in this paper the object recognition method combined with principle component analysis and the multi-layer network which is one of the intelligent classification was suggested and its performance was evaluated. As a pre-processing algorithm of input object image, this method computes the eigenspace through principle component analysis and expresses the training images with it as a fundamental vector. Each image takes the set of weights for the fundamental vector as a feature vector and it reduces the dimension of image at the same time, and then the object recognition is performed by inputting the multi-layer neural network.

A Study on Obstacle Detection for Mobile Robot Navigation (이동형 로보트 주행을 위한 장애물 검출에 관한 연구)

  • Yun, Ji-Ho;Woo, Dong-Min
    • Proceedings of the KIEE Conference
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    • 1995.11a
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    • pp.587-589
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    • 1995
  • The safe navigation of a mobile robot requires the recognition of the environment in terms of vision processing. To be guided in the given path, the robot should acquire the information about where the wall and corridor are located. Also unexpected obstacles should be detected as rapid as possible for the safe obstacle avoidance. In the paper, we assume that the mobile robot should be navigated in the flat surface. In terms of this assumption we simplify the correspondence problem by the free navigation surface and matching features in that coordinate system. Basically, the vision processing system adopts line segment of edge as the feature. The extracted line segments of edge out of both image are matched in the free nevigation surface. According to the matching result, each line segment is labeled by the attributes regarding obstacle and free surface and the 3D shape of obstacle is interpreted. This proposed vision processing method is verified in terms of various simulations and experimentation using real images.

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Application of Image Processing Technique to Improve Production Efficiency of Fine Pitch Hole Based on Laser (레이저 미세피치 홀 가공의 생산효율성 향상을 위한 영상처리 측정 기법 적용)

  • Pyo, C.R.
    • Transactions of Materials Processing
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    • v.19 no.5
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    • pp.320-324
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    • 2010
  • Multi-Layer Ceramic Circuit(MLCC) in the face of thousands of fine pitch multi hole is processed. However, the fine pitch multi hole has a size of only a few micrometers. Therefore, in order to curtail the measurement time and reduce error, the image processing measurement method is required. So, we proposed an image processing measurement algorithm which is required to accurately measure the fine pitch multi hole. The proposed algorithm gets image of the fine pitch multi hole, extracts object from the image by morphological process, and extracts the parameters of its position and feature by edge detecting process. In addition, we have used the sub-pixel algorithm to improve accuracy. As a result, the proposed algorithm shows 97% test-retest measurement reliability within 2 ${\mu}m$. We found that the algorithm was wellsuited for measuring the fine pitch multi hole.

Shadow casting method using direction and edge feature of the object region (방향성과 경계선을 이용한 그림자 제거 방법)

  • Lee J.C;Lee J.W;Cho J.H;Kim S.H
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11b
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    • pp.916-918
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    • 2005
  • 본 논문에서는 감시 시스템 내에서 검출된 객체에 대해 정확한 특징벡터를 추출하기 위한 그림자 제거(shadow casting)방법을 제안한다. 그림자에 의해 부정확한 특징벡터를 가지게 되는 객체는 동일한 객체임에도 불구하고 서로 다른 객체로 인식하는 잘못된 결과를 가져온다. 이러한 문제점을 해결하기 위해 추출된 객체의 경계선(edge)의 수직 히스토그램과 그림자의 방향성을 사용하여 그림자를 제거한다.

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Template-based Automatic 3D Model Generation from Automotive Freehand Sketch (템플릿을 이용한 자동차 프리핸드 스케치의 3D 모델로 자동변환)

  • Cheon, S.U.;Han, S.H.
    • Korean Journal of Computational Design and Engineering
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    • v.12 no.4
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    • pp.283-297
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    • 2007
  • Seamless data integration in the CAx chain of the CAD/CAPP/CAM/CNC has been achieved to a high degree, but research concerning the transfer of data from conceptual sketches to a CAD system should be carried out further. This paper presents a method for reconstructing a 3D model from a freehand sketch. Sketch-based modeling research can be classified into gestural modeling methods and reconstructional modeling methods. This research involves the reconstructional modeling method. Here, Mitani's seminal work, designed for box-shaped 3D model using a predefined template, is improved by leveraging a relational template and specialized for automotive design. Matching between edge graphs of the relational template and the sketch is formulated and solved as the assignment problem using the feature vectors of the edges. Including the stroke preprocessing method required to generate an edge graph from a sketch, necessary procedures and relevant techniques for implementing the template-based modeling method are described. Examples from a working implementation are given.

3D Coordinates Acquisition by using Multi-view X-ray Images (다시점 X선 영상을 이용한 3차원 좌표 획득)

  • Yi, Sooyeong;Rhi, Jaeyoung;Kim, Soonchul;Lee, Jeonggyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.10
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    • pp.886-890
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    • 2013
  • In this paper, a 3D coordinates acquisition method for a mechanical assembly is developed by using multiview X-ray images. The multi-view X-ray images of an object are obtained by a rotary table. From the rotation transformation, it is possible to obtain the 3D coordinates of corresponding edge points on multi-view X-ray images by triangulation. The edge detection algorithm in this paper is based on the attenuation characteristic of the X-ray. The 3D coordinates of the object points are represented on a graphic display, which is used for the inspection of a mechanical assembly.

Implementation and Evaluation of the 100 Watt High Power Amplifier for Broadband Digital TV Repeater (광대역 디지털TV 중계기용 100 Watt 고출력증폭기의 구현 및 특성 측정에 관한 연구)

  • Sung, Jeon-Joong
    • Journal of Advanced Marine Engineering and Technology
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    • v.31 no.5
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    • pp.575-582
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    • 2007
  • In this paper, a 100 Watt high power amplifier has been implemented and performed evaluation, which is operating at UHF band ($470\;{\sim}\;806\;MHz$) for Digital TV repeater. To achieve increase of bandwidth and high power capability, 3-way power combiner and divider of Wilkinson type was adopted. In order to measure the fabricated 100 Watt power amplifier, the estimation technique function which makes equivalent mask was used. As a result of the measurement, the existence of pilot signal is confirmed and the signal transmitted at the rated output power 100 Watt is brought out the flat feature through 6 MHz bandwidth. and it resulted that its value was less than -47 dB at the edge of radiation channel and less than -110 dB at more than 6 MHz position from channel edge.

High-Quality and Robust Reversible Data Hiding by Coefficient Shifting Algorithm

  • Yang, Ching-Yu;Lin, Chih-Hung
    • ETRI Journal
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    • v.34 no.3
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    • pp.429-438
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    • 2012
  • This study presents two reversible data hiding schemes based on the coefficient shifting (CS) algorithm. The first scheme uses the CS algorithm with a mean predictor in the spatial domain to provide a large payload while minimizing distortion. To guard against manipulations, the second scheme uses a robust version of the CS algorithm with feature embedding implemented in the integer wavelet transform domain. Simulations demonstrate that both the payload and peak signal-to-noise ratio generated by the CS algorithm with a mean predictor are better than those generated by existing techniques. In addition, the marked images generated by the variant of the CS algorithm are robust to various manipulations created by JPEG2000 compression, JPEG compression, noise additions, (edge) sharpening, low-pass filtering, bit truncation, brightness, contrast, (color) quantization, winding, zigzag and poster edge distortion, and inversion.

Text Extraction Algorithm in Complex Images using Adaptive Edge detection (복잡한 영상에서 적응적 에지검출을 이용한 텍스트 추출 알고리즘 연구)

  • Shin, Seong;Kim, Sung-Dong;Baek, Young-Hyun;Moon, Sung-Ryong
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.251-252
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    • 2007
  • The thesis proposed the Text Extraction Algorithm which is a text extraction algorithm which uses the Coiflet Wavelet, YCbCr Color model and the close curve edge feature of adaptive LoG Operator in order to complement the demerit of the existing research which is weak in complexity of background, variety of light and disordered line and similarity of text and background color. This thesis is simulated with natural images which include naturally text area regardless of size, resolution and slant and so on of image. And the proposed algorithm is confirmed to an excellent by compared with an existing extraction algorithm in same image.

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Optical Proximity Corrections for Digital Micromirror Device-based Maskless Lithography

  • Hur, Jungyu;Seo, Manseung
    • Journal of the Optical Society of Korea
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    • v.16 no.3
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    • pp.221-227
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    • 2012
  • We propose optical proximity corrections (OPCs) for digital micromirror device (DMD)-based maskless lithography. A pattern writing scheme is analyzed and a theoretical model for obtaining the dose distribution profile and resulting structure is derived. By using simulation based on this model we were able to reduce the edge placement error (EPE) between the design width and the critical dimension (CD) of a fabricated photoresist, which enables improvement of the CD. Moreover, by experiments carried out with the parameter derived from the writing scheme, we minimized the corner-rounding effect by controlling light transmission to the corners of a feature by modulating a DMD.