Name
Abstract | ||
|---|---|---|
We describe an algorithm, Contour Area Filtering, for separating background from foreground in gray scale images. The algorithm is based on the area contained within gray scale contour lines. It can be viewed as a form of local thresholding, or as a seed growing algorithm, or as a type of watershed segmentation. The most important feature of the algorithm is that it uses object area to determine the segmentation. Thus, it is relatively impervious to brightness and contrast variations across an image or between different images. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.media.2006.01.004 | Medical Image Analysis |
Keywords | Field | DocType |
Image processing,Contour Area,Isocontour,Watershed filter,RLGS,Electrophoresis | Computer vision,Pattern recognition,Segmentation,Contour line,Electrophoretogram,Filter (signal processing),Image processing,Artificial intelligence,Thresholding,Mathematics,Brightness,Grayscale | Journal |
Volume | Issue | ISSN |
10 | 3 | 1361-8415 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ramakrishnan Kazhiyur-Mannar | 1 | 0 | 0.34 |
| Dominic J Smiraglia | 2 | 23 | 3.42 |
| Christoph Plass | 3 | 0 | 1.35 |
| Rephael Wenger | 4 | 441 | 43.54 |