Local fuzzy fractal dimension and its application in medical image processing

Authors:
Xiaodong Zhuang;Qingchun Meng
Affiliations:
Intelligent Technology & System Lab, Computer Department, China Ocean University, Qingdao 266071, China;Intelligent Technology & System Lab, Computer Department, China Ocean University, Qingdao 266071, China
Venue:
Artificial Intelligence in Medicine
Year:
2004

Citing 1
Cited 1

Characterization of medical time series using fuzzy similarity-based fractal dimensions

Artificial Intelligence in Medicine

Wavelet-based multifractal analysis of 1-D and 2-D signals: New results

Analog Integrated Circuits and Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The local fuzzy fractal dimension (LFFD) is proposed to extract local fractal feature of medical images. The definition of LFFD is an extension of the pixel-covering method by incorporating the fuzzy set. Multi-feature edge detection is implemented with the LFFD and the Sobel operator. The LFFD can also serve as a characteristic of motion in medical image sequences. The experimental results show that the LFFD is an important feature of edge areas in medical images and can provide information for segmentation of echocardiogram image sequences.