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Proceedings Paper

An improved differential box-counting method of image segmentation
Author(s): Cancan Li; Longfei Cheng; Tao He; Lang Chen; Fei Yu; Liangen Yang
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Paper Abstract

Fractal dimension is an important quantitative characteristic of a image, which can be widely used in image analysis. Differential box-counting method which is one of many calculation methods of a fractal dimension has been frequently used due to its simple calculation . In differential box-counting method, a window size M is limited in the integer power of 2. It leads to inaccurate calculation results of a fractal dimension. Aiming at solving the issues , in this paper, an improved algorithm is discussed that the window size M has been improved to be able to accommodate non-integer power of 2, and making the calculated fractal dimension error smaller. In order to verify superiority of the improved algorithm, the values of fractal dimension are regarded as parameters, and are applied for image segmentation combined with Ostu algorithm . Both traditional and improved differential box-counting methods are respectively used to estimate fractal dimensions and do threshold segmentation for a thread image . The experimental results show that image segmentation details by improved differential box-counting method are more obvious than that by traditional differential box-counting method, with less impurities, clearer target outline and better segmentation effect.

Paper Details

Date Published: 26 January 2016
PDF: 6 pages
Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 99032D (26 January 2016); doi: 10.1117/12.2214977
Show Author Affiliations
Cancan Li, Hubei Univ. of Technology (China)
Longfei Cheng, Hubei Railway Professional Technology College (China)
Tao He, Hubei Univ. of Technology (China)
Lang Chen, Hubei Univ. of Technology (China)
Fei Yu, Hubei Univ. of Technology (China)
Liangen Yang, Hubei Univ. of Technology (China)


Published in SPIE Proceedings Vol. 9903:
Seventh International Symposium on Precision Mechanical Measurements
Liandong Yu, Editor(s)

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