Name
Abstract | ||
|---|---|---|
A straightforward algorithm that computes distance maps from unthresholded magnitude values is presented, suitable for still
images and video sequences. While results on binary images are similar to classic Euclidean Distance Transforms, the proposed
approach does not require a binarization step. Thus, no thresholds are needed and no information is lost in intermediate classification
stages. Experiments include the evaluation of segmented images using the watershed algorithm and the measurement of pixel
value stability in video sequences.
|
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.patcog.2012.02.010 | Pattern Recognition |
Keywords | DocType | Volume |
distance map value,intermediate classification stage,deriche gradient,classic chessboard distance,unthresholded magnitude,binarization step,better result,straightforward algorithm,binary image,classic euclidean distance transforms,pixel value stability,watershed algorithm,computes distance map,video sequence | Conference | 45 |
Issue | ISSN | Citations |
9 | 0031-3203 | 1 |
PageRank | References | Authors |
0.36 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis Antón-canalís | 1 | 31 | 4.95 |
| Mario Hernandez-Tejera | 2 | 1 | 0.36 |
| Elena Sanchez-Nielsen | 3 | 35 | 4.73 |