Name
Title | ||
|---|---|---|
Extracting Salient Contour Groups From Cluttered Solar Images Via Markov Random Fields |
Abstract | ||
|---|---|---|
We propose a method to extract salient contour group from cluttered regions using Markov Random Fields. Our technique delineates smooth, long, and elliptical curves out of clutter. To extract salient curves, we use the following perceptual rules: smoothness, proximity, co-circularity, co-elliptic, and length. Our method consists of following steps: obtaining individual smooth contours along their saliency measures; starting from the most salient contour search for possible grouping options for each contour; continuing the grouping until an optimum solution is reached. We introduce circularity and saliency measures for open curves. We applied our method to discern coronal loops from cluttered solar images, and were able to successfully obtain the entire set of desired coronal loops while eliminating any cluttered background. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6116260 | 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) |
Keywords | Field | DocType |
Contour Grouping, Salient Contours, Markov Random Fields, Solar Images, Saliency Measure, Circularity Measure | Computer vision,Markov process,Random field,Pattern recognition,Clutter,Salience (neuroscience),Computer science,Markov chain,Feature extraction,Image segmentation,Artificial intelligence,Salient | Conference |
ISSN | Citations | PageRank |
1522-4880 | 2 | 0.37 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nurcan Durak | 1 | 43 | 5.33 |
| Olfa Nasraoui | 2 | 1515 | 164.53 |