Abstract
A method based on clustering is presented for restoring and segmenting gray scale images. An optimum clustering obtained by a gradient method gives an image with gray scale values which vary smoothly in each segmented region. The method is also applied to restoration from sparsely sampled data.
| Original language | English |
|---|---|
| Pages (from-to) | 1000-1003 |
| Number of pages | 4 |
| Journal | IEICE Transactions on Information and Systems |
| Volume | E79-D |
| Issue number | 7 |
| Publication status | Published - Jan 1 1996 |
All Science Journal Classification (ASJC) codes
- Software
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Artificial Intelligence