Robust calculation of fractal dimension of images and its applications to classification of ultrasonic liver images and texture images

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn 2, Issue , 2002, Pages 656-659

  Lee, Wen Li ^a   Chen, Yung Chang ^b   Hsieh, Kai Sheng ^c  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

^c KAOHSIUNG VETERANS GENERAL HOSPITAL   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; ESTIMATION; GEOMETRY; SPURIOUS SIGNAL NOISE; SURFACE ROUGHNESS; ULTRASONIC IMAGING;

FRACTAL GEOMETRY; ULTRASONIC LIVER IMAGES;

FRACTALS;

EID: 0036292680     PISSN: 02714310     EISSN: None     Source Type: Journal    
DOI: 10.1109/ISCAS.2002.1011438     Document Type: Article

References (10)

1. An efficient differential box-counting approach to compute fractal dimension of image
2. The modified box-counting method: Analysis of some characteristic parameters
3. Texture description and segmentation through fractal geometry
4. Fractional box counting approach to fractal dimension estimation
5. On the calculation of fractal features from images
6. Dimension estimation of discrete-time fractional Brownian motion with applications to image texture classification
7. Ultrasonic liver tissues classification by fractal feature vector based on M-band wavelet transform