Name
Abstract | ||
|---|---|---|
AbstractIn order to solve the problem of noise amplification, low contrast and image distortion in the process of medical image enhancement, a new algorithm is proposed which combines NSCT nonsubsampled contourlet transform and improved fuzzy contrast. The image is decomposed by NSCT. Firstly, linear enhancement method is used in low frequency coefficients; secondly the improved adaptive threshold function is used to deal with the high frequency coefficients. Finally, the improved fuzzy contrast is used to enhance the global contrast and the Laplace operator is used to enhance the details of the medical images. Experimental results show that the proposed algorithm can improve the image visual effects, remove the noise and enhance the details of medical images. © 2015 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 25, 7-14, 2015 |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1002/ima.22115 | Periodicals |
Keywords | Field | DocType |
medical images, NSCT transform, adaptive threshold function, fuzzy contrast | Computer vision,Computer science,Fuzzy logic,Algorithm,Artificial intelligence,Distortion,Contourlet,Laplace operator,Threshold function | Journal |
Volume | Issue | ISSN |
25 | 1 | 0899-9457 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Wang | 1 | 329 | 39.05 |
| Zhenhong Jia | 2 | 29 | 15.13 |
| Xizhong Qin | 3 | 2 | 0.70 |
| Jie Yang | 4 | 868 | 87.15 |
| Nikola K Kasabov | 5 | 3645 | 290.73 |