|
|
|
|
| LEADER |
01426 am a22001693u 4500 |
| 001 |
11291 |
| 042 |
|
|
|a dc
|
| 100 |
1 |
0 |
|a Mohd. Foozy, Cik Feresa
|e author
|
| 245 |
0 |
0 |
|a Best-location technique for mammogram authentication by LSB based watermarking
|
| 260 |
|
|
|c 2009-10.
|
| 520 |
|
|
|a This project has been developed to embed the patient information into 25 samples of mammogram images in a grayscale format. MATLAB Software has been used as a tool to develop the algorithm where the algorithm has a capability to embed and extract the hidden data. Since the algorithm will identify the breast area before embedding process, the patient's information will be embedded at the best location which is at the background area without interrupting the breast area. Little distortion at the background images are seen when embedding is using LSB 1 and LSB 2. Meanwhile, few images are distorted when using LSB 3. However, there is no distortion identified at all samples when using LSB 4 until LSB 8. Finally, based on the PSNR result, it shows that the quality of watermarked mammogram images is in high value and the watermarked mammogram images are in a good quality.
|
| 546 |
|
|
|a en
|
| 650 |
0 |
4 |
|a QA75 Electronic computers. Computer science
|
| 650 |
0 |
4 |
|a RZ Other systems of medicine
|
| 655 |
7 |
|
|a Thesis
|
| 787 |
0 |
|
|n http://eprints.utm.my/id/eprint/11291/
|
| 856 |
|
|
|z Get fulltext
|u http://eprints.utm.my/id/eprint/11291/1/CikFeresaMohdMFSKSM2009.pdf
|
