Unsupervised segmentation based on robust estimation and color active contour models.

Unsupervised segmentation based on robust estimation and color active contour models.

One of the most commonly used clinical tests performed today is the routine evaluation of peripheral blood smears. In this paper, we investigate the design, development, and implementation of a robust color gradient vector flow (GVF) active contour model for performing segmentation, using a database...

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Bibliografiska uppgifter
I publikationen:IEEE Transactions on information technology in biomedicine 9, 3 (2005).
Huvudupphovsman: Lin Yang
Materialtyp: Artikel
Språk:English
Ämnen:
L/sub 2/E robust estimation.
Luv color space.
Color gradient estimation.
Image segmentation.
Imaged cell database.
Mean-shift clustering approach.
Robust color gradient vector flow active contour model.
Routine peripheral blood smears evaluation.
Traditional color gradient vector flow snake.
Unsupervised robust color snake.
Unsupervised segmentation.