Title :
A New Box-Counting Method for Estimation of Image Fractal Dimension
Author :
Jian Li ; Caixin Sun ; Qian Du
Author_Institution :
Key Lab. of High Voltage & New Electr. Technol., Chongqing Univ., China
Abstract :
Fractal dimension (FD) is an effective measure for complex objects. It is widely applied in the fields of image segmentation and shape recognition. This paper presents a new box-counting method for estimation of fractal dimension of images. Original ideas of the method came from the principles of differential box-counting (DBC) method. Improvements appear in the approach on partition of image plane and computation of the number of boxes covering the image. The computation results of fractal dimension of simulated images and Brodatz texture images demonstrate the new method is effective and produces a wider range in fractal dimension than the original DBC method.
Keywords :
fractals; image classification; image segmentation; image texture; Brodatz texture images; DBC; FD; differential box-counting method; image classification; image fractal dimension estimation; image segmentation; shape recognition; simulated images; Computer science education; Educational technology; Fractals; Image recognition; Image segmentation; Laboratories; Shape; State estimation; Sun; Voltage; Image segmentation; image classification;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.313005
