Name
Abstract | ||
|---|---|---|
In this paper we improve the automatic extraction of segments by resolving some of the issues for collected rat footprints, such as incomplete, fading, merged, or overlapping prints, or cuts due to the applied rectangular clipping process. First, binarization is by an adaptive method (proposed by Otsu) on the given input segment. Second, we remove small artefacts with a subsequent adaptive method. Third, merged regions are separated by a morphological method using an adaptive mask. Next, we find meaningful pads (central pad or toes) by analysing geometric relations defined by triangulation. Finally we reconstruct damaged footprints by using a convex-hull algorithm. We present experimental results of reconstructed footprints, and distributions of extracted features for improved segments. In the proposed technique, we automatically improve the quality and reliability of a scanned footprint image so as not to lose potential information for subsequent identification steps. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2425836.2425890 | IVCNZ |
Keywords | Field | DocType |
adaptive method,merged region,small mammal,adaptive mask,improved segmentation,central pad,subsequent adaptive method,proposed technique,automatic extraction,morphological method,subsequent identification step,convex-hull algorithm,footprint recognition,thresholding,footprints | Computer vision,Pattern recognition,Segmentation,Adaptive method,Fading,Computer science,Triangulation (social science),Footprint,Artificial intelligence,Thresholding,Geometric relations,Clipping (audio) | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bok-Suk Shin | 1 | 68 | 9.27 |
| Yihui Zheng | 2 | 1 | 1.79 |
| James Russell | 3 | 0 | 0.34 |
| Reinhard Klette | 4 | 1743 | 228.94 |