DocumentCode :
2678679
Title :
Traffic Image Classification Method Based on Fractal Dimension
Author :
Wen-lun, Cao ; Shi Zhong-ke ; Feng Jian -hu
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´´an
Volume :
2
fYear :
2006
fDate :
17-19 July 2006
Firstpage :
903
Lastpage :
907
Abstract :
An image classification method based on fractal dimension was presented. Moreover, the fractal dimension of small complex traffic image was studied. The result of the experiment show fractal dimension can be a good parameter in image classified and analysis. The classified result based on fractal dimension is the same as the result of classified according to person´s subjective recept. To organize in a sequence of texture-image, texture-verge-image, texture-verge-smooth-image, verge-smooth-image and smooth-image, the corresponding fractal dimension respectively is 2-2.1,2.1-2.35,2.35-2.45,2.45-2.5,2.5-3.0 and 2-2.2,2.2-2.45,2.45-2.55,2.55-2.6,2.6-3.0, when the box´s side is 2 and 4. As for traffic image, the fractal dimension respectively is 2.4-3.0 and 2.8-3.0, when box´s side is 2 and 4
Keywords :
fractals; image classification; image sequences; image texture; traffic engineering computing; fractal dimension; texture-verge-smooth-image sequence; traffic image classification; traffic image processing; Arithmetic; Clouds; Fractals; Image analysis; Image classification; Image coding; Image processing; Pixel; Sea surface; Space technology; Fractal Dimension; Image Classification; Traffic Image Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0475-4
Type :
conf
DOI :
10.1109/COGINF.2006.365612
Filename :
4216530
Link To Document :
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