| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 536943 | Pattern Recognition Letters | 2005 | 10 Pages |
Abstract
We present a general approach to the development of adaptive image processing operators of variable shape and size that can be applied directly to non-uniformly sampled images. The approach is demonstrated for second order derivative operators using content-based compressed images.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
B.W. Scotney, S.A. Coleman, M.G. Herron,