Name
Abstract | ||
|---|---|---|
Connected attribute filters are morphological operators widely used for their ability of simplifying the image without moving its contours. In this paper, we present a fast, versatile and easy-to-implement algorithm for grayscale connected attribute thinnings and thickennings, a subclass of connected filters for the wide range of non-increasing attributes. We show that our algorithm consumes less memory and is computationally more efficient than other available methods on natural images, for strictly identical results. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11919629_41 | ISVC |
Keywords | Field | DocType |
identical result,connected filter,grayscale connected attribute thinning,connected attribute filter,non-increasing attribute,morphological operator,easy-to-implement algorithm,natural image,algorithm consumes,available method,efficient algorithm | Computer vision,Pattern recognition,Mathematical morphology,Computer science,Algorithm,Image processing,Artificial intelligence,Operator (computer programming),Thickening,Grayscale | Conference |
Volume | ISSN | ISBN |
4292 | 0302-9743 | 3-540-48626-7 |
Citations | PageRank | References |
1 | 0.35 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Lesage | 1 | 441 | 18.16 |
| Jérôme Darbon | 2 | 512 | 41.96 |
| Ceyhun Burak Akgül | 3 | 266 | 14.10 |