Segment the Medical Images based on Contourlet Transformations
In this paper, we have studied the Normalized Cut algorithm to segment the medical images that was widely used in the last decade. And we based on Image in contourlet domain that supports rich information in Low _ Low frequency. And a clear edges in High_ High frequency. As motion above,...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | Arabic |
| Published: |
Mosul University
2011-12-01
|
| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_163649_dad693e55e4e903ff2f9e7f1da54bbe9.pdf |
| Summary: | In this paper, we have studied the Normalized Cut algorithm to segment the medical images that was widely used in the last decade. And we based on Image in contourlet domain that supports rich information in Low _ Low frequency. And a clear edges in High_ High frequency.
As motion above, we can replace the algorithm filters by the high frequency contourlet coefficient, and then the edges will be projected on the original image to obtain a segment to be studied independently.
When the proposed algorithm applied on the medical images after exchanging the previous filter by the contourlet coefficients, Adopted in additionto extract the properties of the selected segment to be recognized by human eyes.
<strong><em> </em></strong> |
|---|---|
| ISSN: | 1815-4816 2311-7990 |