Title :
Fractal-based Image Analysis of Coke Optical Texture
Author :
Peizhen, Wang ; Qinfang, Wang
Author_Institution :
Anhui Univ. of Technol., Ma´´anshan
fDate :
May 30 2007-June 1 2007
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;
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
DOI :
10.1109/ICCA.2007.4376957
