Abstract
A new approach to digital implementation of continuous-scale mathematical morphology is presented. The approach is based on discretization of evolution equations associated with continuous multiscale morphological operations. Those equations, and their corresponding numerical implementation, can be derived either directly from mathematical morphology definitions or from curve evolution theory. The advantages of the proposed approach over the classical discrete morphology are demonstrated.
Original language | English (US) |
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Pages (from-to) | 1363-1372 |
Number of pages | 10 |
Journal | Pattern Recognition |
Volume | 26 |
Issue number | 9 |
DOIs | |
State | Published - Sep 1993 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence
Keywords
- Curve evolution
- Digital implementation
- Mathematical morphology
- Numerical algorithms
- Partial differential equations
- Scale-space