3D Surface Roughness Measurement based on SFS Method

被引：4

作者：

Min, Li ^{[1
]}

Li, Dian ^{[1
]}

Dong, Shuai ^{[1
]}

机构：

[1] Shenyang Jianzhu Univ, Sch Mech Engn, Shenyang 110168, Peoples R China

来源：

2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2 | 2016年

关键词：

SFS; 3D reconstruction; surface roughness; 3D feature extraction;

D O I：

10.1109/IHMSC.2016.192

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There-dimensional (3D) milling surface was reconstructed from single gray level image by using the shape from shading (SFS) method based on computer vision theory. It can recover the surface function z(x,y) from the brightness image E(x,y) by inverting the image irradiance equation, and then the 3D reconstruction mode was established. By using the least squares method, we established the least-square plane to calculate the 3D roughness evaluation parameters. We extracted four 3D roughness evaluation parameters to analysis the relationship between the parameters and the roughness R-a. Experiments show that this method can evaluate milling surface roughness effectively.

引用

页码：484 / 488

页数：5

共 8 条

[1] An evaluation of surface roughness parameters measurement using vision-based data [J].

Al-Kindi, Ghassan A. ;

Shirinzadeh, Bijan .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2007, 47 (3-4) :697-708

[2] ON SHAPE FROM SHADING [J].

BRUCKSTEIN, AM .

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1988, 44 (02) :139-154

[3]

Guo Bian, 2011, MACHINE MANUFACTURIN, V49, P76

[4] THE VARIATIONAL APPROACH TO SHAPE FROM SHADING [J].

HORN, BKP ;

BROOKS, MJ .

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1986, 33 (02) :174-208

[5]

Jain Anil K., 2006, FDN DIGITAL IMAGE PR

[6] On-line surface roughness recognition system using artificial neural networks system in turning operations [J].

Lee, SS ;

Chen, JC .

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2003, 22 (7-8) :498-509

[7]

LIU Bin, 2004, OPTICAL INSTRUMENTS, V26, P54

[8] Three-dimensional object reconstruction from two-dimensional images [J].

Rockwood, AP ;

Winget, J .

COMPUTER-AIDED DESIGN, 1997, 29 (04) :279-285

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