Segmentation of textured images based on fractals and image filtering

Pattern Recognition

Volumn 34, Issue 10, 2001, Pages 1963-1973

  Kasparis, T ^a   Charalampidis, D ^a   Georgiopoulos, M ^a   Rolland, J ^b  

^a University of Central Florida   (United States)

^b UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Energy features; Fractal features; Gabor filters; K means; Texture segmentation

Indexed keywords

BAND STRUCTURE; FRACTALS; IMAGE ANALYSIS; TEXTURES;

IMAGE FILTERING;

PATTERN RECOGNITION;

FILTER; IMAGE PROCESSING; SEGMENTATION; TEXTURE;

EID: 0035480231     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(00)00126-6     Document Type: Article

References (18)

1. Unsupervised texture segmentation using Gabor filters
2. Optimal Gabor filters for texture segmentation
3. Unsupervised texture segmentation of images using tuned matched Gabor filters
4. Computer identification of visual surfaces
5. Segmentation of texture using correlation
6. Noisy texture classification: A higher - Order statistics approach
7. Texture classification and segmentation using wavelet frames
8. Wavelet transform methods for image detection and recovery
9. Texture segmentation using fractal dimension
10. The variation method: A technique to estimate the fractal dimension of surfaces
11. Texture description based on fractal and energy features
12. A dendrite method for cluster analysis
13. An examination of procedures for determining the number of clusters in a data set
14. Segmentation of textured images based on fractal feature combinations
15. Fractal-based description of natural scenes
16. Properties of fractal intensity surfaces