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Analysis of texture using the fractal model
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Navas, WilliamEspinosa, Ramon Vasquez |
| Copyright Year | 1997 |
| Description | Properties such as the fractal dimension (FD) can be used for feature extraction and classification of regions within an image. The FD measures the degree of roughness of a surface, so this number is used to characterize a particular region, in order to differentiate it from another. There are two basic approaches discussed in the literature to measure FD: the blanket method, and the box counting method. Both attempt to measure FD by estimating the change in surface area with respect to the change in resolution. We tested both methods but box counting resulted computationally faster and gave better results. Differential Box Counting (DBC) was used to segment a collage containing three textures. The FD is independent of directionality and brightness so five features were used derived from the original image to account for directionality and gray level biases. FD can not be measured on a point, so we use a window that slides across the image giving values of FD to the pixel on the center of the window. Windowing blurs the boundaries of adjacent classes, so an edge-preserving, feature-smoothing algorithm is used to improve classification within segments and to make the boundaries sharper. Segmentation using DBC was 90.8910 accurate. |
| File Size | 196452 |
| Page Count | 5 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20010000453 |
| Archival Resource Key | ark:/13960/t7dr7sh1d |
| Language | English |
| Publisher Date | 1997-02-01 |
| Access Restriction | Open |
| Subject Keyword | Numerical Analysis Fractals Algorithms Pattern Recognition Pixels Image Classification Textures Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |