| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1179865 | Chemometrics and Intelligent Laboratory Systems | 2011 | 11 Pages |
Abstract
The paper presents an overview of methods for extracting useful information from digital images. It covers various approaches that utilized different properties of images, like intensity distribution, spatial frequency content and several others. A few case studies including isotropic and heterogeneous, congruent and non-congruent images are used to illustrate how the described methods work and to compare some of them.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Sergey Kucheryavski,