PCB positioning based on fractal property of image edge

Hong Wang; Shigang Wang; Xiaodan Ke; Guobao Wang

PCB positioning based on fractal property of image edge

Hong Wang, Shigang Wang, Xiaodan Ke, Guobao Wang

Research output: Contribution to journal › Article › peer-review

Abstract

A novel approach of PCB image positioning is proposed. The method focuses on the rectangle mark image of PCB and analyzes the fractal property of image edge. Deleting nonordinary edge noise and compensating for the length of fractal curve, we can get the fractal dimension value from the edge curve property. An equation is deduced to represent the relation between the dimension of fractal curve and the turning angle of image. As a result, we get the angle value of PCB image exactly. Results from analyzing real image edges confirm that the fractal method is a new powerful tool for angular positioning on PCB.

Original language	English (US)
Pages (from-to)	292-295
Number of pages	4
Journal	Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
Volume	14
Issue number	4
State	Published - Apr 1 2002
Externally published	Yes

Keywords

Angle inspection
Dimension compensation
Fractal dimension
Machine vision

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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title = "PCB positioning based on fractal property of image edge",

abstract = "A novel approach of PCB image positioning is proposed. The method focuses on the rectangle mark image of PCB and analyzes the fractal property of image edge. Deleting nonordinary edge noise and compensating for the length of fractal curve, we can get the fractal dimension value from the edge curve property. An equation is deduced to represent the relation between the dimension of fractal curve and the turning angle of image. As a result, we get the angle value of PCB image exactly. Results from analyzing real image edges confirm that the fractal method is a new powerful tool for angular positioning on PCB.",

keywords = "Angle inspection, Dimension compensation, Fractal dimension, Machine vision",

author = "Hong Wang and Shigang Wang and Xiaodan Ke and Guobao Wang",

year = "2002",

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language = "English (US)",

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pages = "292--295",

journal = "Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics",

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T1 - PCB positioning based on fractal property of image edge

AU - Wang, Hong

AU - Wang, Shigang

AU - Ke, Xiaodan

AU - Wang, Guobao

PY - 2002/4/1

Y1 - 2002/4/1

N2 - A novel approach of PCB image positioning is proposed. The method focuses on the rectangle mark image of PCB and analyzes the fractal property of image edge. Deleting nonordinary edge noise and compensating for the length of fractal curve, we can get the fractal dimension value from the edge curve property. An equation is deduced to represent the relation between the dimension of fractal curve and the turning angle of image. As a result, we get the angle value of PCB image exactly. Results from analyzing real image edges confirm that the fractal method is a new powerful tool for angular positioning on PCB.

AB - A novel approach of PCB image positioning is proposed. The method focuses on the rectangle mark image of PCB and analyzes the fractal property of image edge. Deleting nonordinary edge noise and compensating for the length of fractal curve, we can get the fractal dimension value from the edge curve property. An equation is deduced to represent the relation between the dimension of fractal curve and the turning angle of image. As a result, we get the angle value of PCB image exactly. Results from analyzing real image edges confirm that the fractal method is a new powerful tool for angular positioning on PCB.

KW - Angle inspection

KW - Dimension compensation

KW - Fractal dimension

KW - Machine vision

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