Abstract
According to the fractal characters of remote sensing image, the image was segmented with the Local Fractal Dimension (LFD). The pyramid model instead of local window model was used to decrease the computation time in computing local triangular prism. Compared with traditional method, a new recursive procedure was designed to decrease the needed memory capacity. The experiment results on remote sensing image segmentation show that the improved method effectively increases the speed of image segmentation based on the texture, and keeps the accurateness of the fractal dimension with the triangular prism method.
Original language | English |
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Pages (from-to) | 136-139 |
Number of pages | 4 |
Journal | Guangdian Gongcheng/Opto-Electronic Engineering |
Volume | 35 |
Issue number | 1 |
Publication status | Published - Jan 2008 |
Keywords
- Fractal
- Image segmentation
- Local fractal dimension
- Local triangular prism method
- Remote sensing image
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Chen, X. M., & Ni, G. Q. (2008). Remote sensing image segmentation based on local fractal dimension. Guangdian Gongcheng/Opto-Electronic Engineering, 35(1), 136-139.