DocumentCode :
3343609
Title :
Interactive graph cut segmentation of touching neuronal structures from electron micrographs
Author :
Jagadeesh, Vignesh ; Manjunath, B.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA, USA
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
3625
Lastpage :
3628
Abstract :
A novel interactive segmentation framework comprising of a two stage s-t mincut is proposed. The framework has been designed keeping in mind the need to segment touching neuronal structures in Electron Micrograph (EM) images. The first stage undersegments the image, and groups touching structures into a single class. The second stage accepts user interaction to separate touching structures. The technique introduces user feedback through a Markov Random Field formulation. Furthermore, a method for constructing interaction potentials using an edge response function is proposed. Encouraging results, and a comparison to state of the art methods is presented.
Keywords :
Markov processes; edge detection; graph theory; image segmentation; medical image processing; neurophysiology; random processes; EM image; Markov random field formulation; edge response function; electron micrograph image; interactive graph cut segmentation; touching neuronal structure; two stage s-t mincut; Equations; Image edge detection; Image segmentation; Markov random fields; Minimization; Pixel; Transforms; Graph Cuts; Interactive Segmentation; Markov Random Fields;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5652042
Filename :
5652042
Link To Document :
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