Name
Abstract | ||
|---|---|---|
A novel approach in the segmentation for the images of different nature employing the feature extraction in WT space before the segmentation process is presented. The designed frameworks (W-FCM, W-CPSFCM and WK-Means) according to AUC analysis have demonstrated better performance novel frameworks against other algorithms existing in literature during numerous simulation experiments with synthetic and dermoscopic images. The novel W-CPSFCM algorithm estimates a number of clusters in automatic mode without the intervention of a specialist. The implementation of the proposed segmentation algorithms on the Texas Instruments DSP TMS320DM642 demonstrates possible real time processing mode for images of different nature. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1117/12.921878 | REAL-TIME IMAGE AND VIDEO PROCESSING 2012 |
Keywords | Field | DocType |
segmentation, wavelets, images, AUC measure, digital image processing, DSP | Computer vision,Scale-space segmentation,Computer science,Segmentation,Segmentation-based object categorization,Image segmentation,Feature extraction,Artificial intelligence,Digital image processing,Wavelet,Wavelet transform | Conference |
Volume | ISSN | Citations |
8437 | 0277-786X | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Volodymyr Ponomaryov | 1 | 38 | 10.37 |
| Heydy Castillejos | 2 | 13 | 0.95 |
| Ricardo Peralta-Fabi | 3 | 2 | 1.03 |