Name
Title | ||
|---|---|---|
Contrast Enhancement Of Mycobacterium Tuberculosis Images Based On Improved Histogram Equalization |
Abstract | ||
|---|---|---|
There are often low contrast Mycobacterium tuberculosis (MTB) objects in the MTB images. Based on improved histogram equalization (HE), a framework of contrast enhancement is proposed to increase the contrast of MTB images. Our proposed algorithm was compared with the traditional HE and the weighted thresholded HE. The experimental results demonstrate that our proposed algorithm has better performance in contrast enhancement, artifacts suppression, and brightness preserving for MTB images. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1587/transinf.2016EDL8108 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
contrast enhancement, tuberculosis, histogram equalization, PDF transformation | Computer vision,Mycobacterium tuberculosis,Pattern recognition,Computer science,Artificial intelligence,Histogram equalization | Journal |
Volume | Issue | ISSN |
E99D | 11 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Xu | 1 | 2 | 0.76 |
| Zhou Dongxiang | 2 | 148 | 13.50 |
| Peng Keju | 3 | 10 | 3.72 |
| Weihong Fan | 4 | 13 | 4.25 |
| Liu YH | 5 | 1540 | 185.05 |