| Paper: | WA-L1.8 |
| Session: | Image Processing and Analysis for Oncology |
| Time: | Wednesday, September 19, 12:30 - 12:50 |
| Presentation: |
Special Session Lecture
|
| Title: |
AN IMAGE ENHANCEMENT ALGORITHM BASED ON A CONTRAST MEASURE IN THE WAVELET DOMAIN FOR SCREENING MAMMOGRAMS |
| Authors: |
Jinshan Tang; Alcorn State University | | |
| | Qingling Sun; Alcorn State University | | |
| | Kwabena Agyepong; Alcorn State University | | |
| Abstract: |
Currently, the radiologists mainly use their eyes to discern cancer when they screen the mammograms. However, in many cases, cancer is not easily detected by the eyes because of the bad imaging conditions. In order to improve the correct diagnosis rate of cancer, image enhancement technology is often used to enhance the image and aid the radiologists. In this paper, we develop a new image enhancement technology in the wavelet domain for radiologists to screen mammograms. The new image enhancement algorithm has several advantages. First, the image enhancement is based on a new contrast measure defined in the wavelet domain which matches the human vision system better and the enhanced images are more suitable for human eyes; second, the image enhancement is carried on in the wavelet domain and thus it can save time if the image is compressed by JPEG2000. The algorithm was tested by an expert and the results are progressive. |
