DocumentCode
2012811
Title
Fractal-based Image Analysis of Coke Optical Texture
Author
Peizhen, Wang ; Qinfang, Wang
Author_Institution
Anhui Univ. of Technol., Ma´´anshan
fYear
2007
fDate
May 30 2007-June 1 2007
Firstpage
3223
Lastpage
3225
Abstract
The micro optical texture structure is one of the most relevant characteristics of coke. In this paper, the feature of coke slice image is analyzed, and a box-counting algorithm is implemented to analyze the fractal structure of coke. From the experimental results, the relationship between fractal dimension and the porosity of coke is developed, which provide an important basis for the auto analysis of coke quality.
Keywords
fractals; image texture; optical images; porosity; box-counting algorithm; coke optical texture; coke quality; coke slice image; fractal-based image analysis; micro optical texture; porosity; Algorithm design and analysis; Electron optics; Fractals; Geometrical optics; Image analysis; Image texture analysis; Microstructure; Optical microscopy; Stochastic processes; Thermal conductivity; box-counting algorithm; coke; fractal dimension; slice iImage;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-0818-4
Electronic_ISBN
978-1-4244-0818-4
Type
conf
DOI
10.1109/ICCA.2007.4376957
Filename
4376957
Link To Document