Abstract
Principal Singular Vectors (PSVs) are used to facilitate color image segmentation. This approach allows the derivation of feature-blocks with different object-based motions which can be divided into regions having consistent motion. It also enables images to retain a high degree of neighborhood property for improved image quality.
Original language | English (US) |
---|---|
Pages (from-to) | 3410-3413 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 6 |
State | Published - 1996 |
Event | Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA Duration: May 7 1996 → May 10 1996 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering