DocumentCode
3277208
Title
The MOTIF evaluation method and its region combination algorithm for surface texture
Author
Shenghuai, Wang ; Fenghua, Xu ; Yurong, Chen ; Tiebang, Xie
Author_Institution
Dept. of Instrum., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
15-17 April 2011
Firstpage
1811
Lastpage
1815
Abstract
The new surface texture plays important role more and more in the modern engineering product. Therefore the measurement and characterization of new surface texture become increasingly important. For the characteristics acquisition of surface texture, the watershed segmentation method is introduced to segment the surface texture according to the latest draft international standard of areal surface texture evaluation. The surface texture can be characterized by the parameters of 3D-MOTIF. For the over-segmentation of surface texture, an areal combination algorithm based on gray value pretreatment is presented and it is effective to combine the over-segmented regions which are unimportant and tiny. And then it contributes to further extract the parameters of the main features of the surface structure. The effectiveness of this combination algorithm is verified by application examples.
Keywords
data acquisition; image segmentation; image texture; measurement standards; mechanical engineering computing; surface roughness; surface texture; MOTIF evaluation method; areal surface texture evaluation; data acquisition; draft international standard; gray value pretreatment; modern engineering product; region combination algorithm; surface structure; watershed segmentation method; Feature extraction; Image segmentation; Surface morphology; Surface roughness; Surface texture; Surface topography; Surface treatment; 3D-MOTIF; areal combination; surface texture; watershed segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777461
Filename
5777461
Link To Document