Name
Abstract | ||
|---|---|---|
A mathematical morphology based approach for automated classification of color objects is explored in this paper. Using an adapted set of mathematical morphology operators, the initial color images are analyzed until final color classification is accomplished. Morphological feature extraction algorithm includes morphological color gradient, homotopic skeleton, Hit-or-Miss transform and other special morphological processing steps. In the end, illustrative application examples of the presented approach on real acquired images are also provided. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/BCI.2009.17 | BCI |
Keywords | Field | DocType |
color objects classification,final color classification,automated classification,homotopic skeleton,initial color image,color object,special morphological processing step,morphological algorithm,mathematical morphology,morphological feature extraction algorithm,mathematical morphology operator,morphological color gradient,feature extraction,skeleton,homotopic,image classification,classification algorithms,algorithm,extraction,color,feature,pixel,gradient,color image,gray scale | Computer vision,Morphological skeleton,Pattern recognition,Computer science,Mathematical morphology,Feature extraction,Hit-or-miss transform,Artificial intelligence,Contextual image classification,Statistical classification,Grayscale,Color gradient | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eugen Zaharescu | 1 | 0 | 0.34 |