Name
Title | ||
|---|---|---|
A new color representation for intensity independent pixel classification in confocal microscopy images |
Abstract | ||
|---|---|---|
We address the problem of pixel classification in fluorescence microscopy images by only using wavelength information. To achieve this, we use Support Vector Machines as supervised classifiers and pixels components as feature vectors. We propose a representation derived from the HSV color space that allows separation between color and intensity information. An extension of this transformation is also presented that allows to performs an a priori object/background segmentation. We show that these transformations not only allows intensity independent classification but also makes the classification problem more simple. As an illustration, we perform intensity independent pixel classification first on a synthetic then on real biological images. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74607-2_54 | ACIVS |
Keywords | Field | DocType |
support vector machines,intensity independent pixel classification,wavelength information,intensity information,intensity independent classification,classification problem,feature vector,background segmentation,hsv color space,pixel classification,confocal microscopy image,new color representation,support vector machine,fluorescence microscopy,confocal microscopy | Computer vision,HSL and HSV,Feature vector,Color space,Pattern recognition,Segmentation,Computer science,Support vector machine,A priori and a posteriori,Pixel,Artificial intelligence,Confocal microscopy | Conference |
Volume | ISSN | ISBN |
4678 | 0302-9743 | 3-540-74606-4 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boris Lenseigne | 1 | 21 | 5.14 |
| Thierry Dorval | 2 | 22 | 3.23 |
| Arnaud Ogier | 3 | 20 | 4.09 |
| Auguste Genovesio | 4 | 42 | 7.98 |