Name
Title | ||
|---|---|---|
A modified tabu search approach for texture segmentation using 2-D non-separable wavelet frames. |
Abstract | ||
|---|---|---|
This paper proposes a new feature vector which is characterized by a density of 2-D overcomplete wavelet transform extrema estimated at the output of the corresponding filter bank and forms a feature vector for clustering. We formulated the texture segmentation problem as a combinatorial optimization. The good texture discrimination ability of the feature is demonstrated with the three-category texture image via a modified tabu search approach. According to the proposed schedule, the trial solution in this search uses the centroid of the cluster as a string and has been performed to make the objective function better in the hope that it eventually will achieve a better solution. A quantitative calculation of the accuracy of our segmentation results is presented. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/TAI.1998.744888 | Proceedings of the International Conference on Tools with Artificial Intelligence |
Keywords | Field | DocType |
string,vectors,accuracy,wavelet transforms,centroid,image segmentation,feature extraction,feature vector,scheduling,combinatorial optimization,robustness,tabu search,filter bank,image texture,wavelet transform,objective function | Feature vector,Pattern recognition,Image texture,Segmentation,Computer science,Image segmentation,Feature extraction,Artificial intelligence,Machine learning,Tabu search,Wavelet,Wavelet transform | Conference |
ISSN | Citations | PageRank |
10636730 | 3 | 0.43 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J.-S. Pan | 1 | 3 | 0.43 |
| J. W. Wang | 2 | 3 | 0.76 |
| C. H. Chen | 3 | 3 | 0.43 |
| H. L. Fang | 4 | 3 | 0.43 |