Abstract
Using a multi-resolution texture 'tuned' mask, we have realized a multi-scale texture classifier for effective segmentation of collages of Brodatz textures at various scales. Our mask tuning optimizes a performance index via a guided random search over a range of scales using a dynamic data structure.
Original language | English |
---|---|
Pages (from-to) | 599-604 |
Number of pages | 6 |
Journal | Pattern Recognition Letters |
Volume | 13 |
Issue number | 8 |
DOIs | |
Publication status | Published - 1 Jan 1992 |
Keywords
- classifier
- convolution
- image segmentation
- Multi-scale
- texture discrimination
- texture energy
- tuned mask
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence