Title :
Towards active segmentation of cell images
Author :
Horn, Martin ; Berthold, Michael R.
Author_Institution :
Konstanz Res. Sch. Chem. Biol., Univ. of Konstanz, Konstanz, Germany
fDate :
March 30 2011-April 2 2011
Abstract :
This paper presents ongoing work towards creating a framework for the active segmentation and classification of cell assay images. In this paper we focus on the learning of a probabilistic boundary model followed by an extended segmentation method. The abilities are demonstrated on a variety of cell images. We conclude by outlining approaches for the active segmentation of cell images.
Keywords :
biomedical optical imaging; cellular biophysics; image segmentation; medical image processing; probability; active segmentation; cell assay images; image classification; probabilistic boundary model; Biomedical imaging; Detection algorithms; Image edge detection; Image segmentation; Pixel; Probabilistic logic; Training; Active cell segmentation; Bayesian classifier; boundary detection; contour detection;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2011.5872382
