Name
Title | ||
|---|---|---|
A novel unified method for the fast computation of discrete image moments on grayscale images |
Abstract | ||
|---|---|---|
We proposed a new method to compute the discrete image moments in this paper. By simple mathematical deduction, the discrete image moments can be transformed into first-order moments. Therefore, the fast algorithm for first-order moments' calculation can be used to compute discrete image moments. We also design an efficient computation structure based on systolic array to implement this approach. Since our method does not use the moment kernel polynomials' properties in the calculation process, the proposed method can be used to compute any discrete image moments in the same way. The presented algorithm has several advantages such as regular and simple computation structure, without multiplication, independent of the image's intensity distribution, applicable to any discrete moment family. Various experiments demonstrate the effectiveness of the proposed algorithm in comparison with some state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11554-019-00878-7 | JOURNAL OF REAL-TIME IMAGE PROCESSING |
Keywords | DocType | Volume |
Feature extraction,Discrete image moments,Moment calculation,Fast algorithms | Journal | 17.0 |
Issue | ISSN | Citations |
5.0 | 1861-8200 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hua Xia | 1 | 6 | 5.24 |
| Hong Hanyu | 2 | 8 | 4.80 |
| Jianguo Liu | 3 | 85 | 6.38 |
| Shi Yu | 4 | 19 | 9.01 |