DocumentCode :
3272162
Title :
Drosophila eye nuclei segmentation based on graph cut and convex shape prior
Author :
Jin Qi ; Wang, Bingdong ; Pelaez, N. ; Rebay, L. ; Carthew, R.W. ; Katsaggelos, Aggelos K. ; Amaral, L. A. Nunes
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
670
Lastpage :
674
Abstract :
The rapid advance in three-dimensional (3D) confocal imaging technologies is rapidly increasing the availability of 3D cellular images. However, the lack of robust automated methods for the extraction of cell or organelle shapes from the images is hindering researchers ability to take full advantage of the increase in experimental output. The lack of appropriate methods is particularly significant when the density of the features of interest in high, such as in the developing eye of the fruit fly. Here, we present a novel and efficient nuclei segmentation algorithm based on the combination of graph cut and convex shape prior. The main characteristic of the algorithm is that it segments nuclei foreground using a graph cut algorithm and splits overlapping or touching cell nuclei by simple convex and concavity analysis, using a convex shape assumption for nuclei contour. We evaluate the performance of our method by applying it to a library of publicly-available two-dimensional (2D) images that were hand-labeled by experts. Our algorithm yields a substantial quantitative improvement over other methods for this benchmark. For example, our method achieves a decrease of 3.2 in the Hausdorff distance and an decrease of 1.8 per slice in the merged nuclei error.
Keywords :
cellular biophysics; eye; fluorescence; image segmentation; medical image processing; 3D cellular images; Drosophila sp; convex shape prior; eye; graph cut; hand-labeled; merged nuclei error; nuclei segmentation algorithm; organelle shapes; publicly-available two-dimensional images; robust automated methods; three-dimensional confocal imaging technologies; Algorithm design and analysis; Clustering algorithms; Educational institutions; Image color analysis; Image segmentation; Microscopy; Shape; convex and concavity analysis; drosophila eye; fluorescence microscopy image; graph cut; nuclei segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738138
Filename :
6738138
Link To Document :
بازگشت