Name
Title | ||
|---|---|---|
Multi Resolution Image Segmentation with Border Smoothness for Scalable Object-based Wavelet Coding |
Abstract | ||
|---|---|---|
Abstract. This paper introduces a multiresolution image segmentation algorithm for scalable object-based wavelet coding applications. This algorithm is based on discrete wavelet transform and multiresolution Markov random field (MMRF) modelling. The major contribution of this work is to add spatial scalability and border smoothness in the segmentation algorithm usable for object-based wavelet coding algorithm. To optimize the segmentation/extraction of objects/regions of interest in all scales of the wavelet pyramid, with scalability constraint, a mul-tiresolution analysis is incorporated into the objective function of MMRF seg-mentation algorithm. The proposed algorithm improves border smoothness in all regions, particularly in lower resolutions. In addition to scalability between ob-jects/regions in different levels, the proposed algorithm outperforms the standard multiresolution segmentation algorithms, in both objective and subjective tests, in yielding an effective segmentation that supports scalable object-based wavelet coding. |
Year | Venue | DocType |
|---|---|---|
2003 | DICTA | Conference |
Citations | PageRank | References |
1 | 0.41 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fardin Akhlaghian Tab | 1 | 15 | 4.45 |
| Golshah Naghdy | 2 | 29 | 9.36 |
| Alfred Mertins | 3 | 534 | 76.48 |